{"metadata":{"kernelspec":{"name":"python3","display_name":"Python 3","language":"python"},"language_info":{"name":"python","version":"3.10.14","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"colab":{"private_outputs":true,"provenance":[],"gpuType":"T4","authorship_tag":"ABX9TyPc8dKZ6k5aNFji6haQ8bkE"},"accelerator":"GPU","kaggle":{"accelerator":"none","dataSources":[{"sourceId":39272,"databundleVersionId":4629629,"sourceType":"competition"},{"sourceId":4781642,"sourceType":"datasetVersion","datasetId":2767654},{"sourceId":9293524,"sourceType":"datasetVersion","datasetId":5626466}],"dockerImageVersionId":30787,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"<a id=\"1\"></a>\n# <div style=\"text-align:center; border-radius:15px 50px; padding:7px; color:white; margin:0; font-size:110%; font-family:Pacifico; background-color:#0073e6; overflow:hidden\"><b>Convolutional Neural Networks - Breast cancer</b></div>\n\n<div align=\"center\">\n    <img src=\"https://img.freepik.com/vetores-gratis/banner-para-o-mes-de-conscientizacao-do-cancer-de-mama_1048-16780.jpg?t=st=1731951445~exp=1731955045~hmac=94b2c5b2f8dcd0d2fed0878ad633917d9b0e18d5d40e42c70b98c258be2216a7&w=826\" />\n</div>","metadata":{}},{"cell_type":"markdown","source":"<a id=\"1\"></a>\n# <div style=\"text-align:center; border-radius:15px 50px; padding:7px; color:white; margin:0; font-size:110%; font-family:Pacifico; background-color:#0073e6; overflow:hidden\"><b> Part 1 - Business Problem </b></div>","metadata":{}},{"cell_type":"markdown","source":"**Business Problem for Breast Cancer Detection Using Convolutional Neural Networks (CNN)**\r\n\r\n**Objective:**\r\nDevelop a robust breast cancer detection model using Convolutional Neural Networks (CNNs) to automate the analysis of mammogram images. The model aims to identify and classify breast tumors accurately, potentially reducing the burden on radiologists and assisting in early detection efforts, which is crucial for successful treatment and improved survival rates.\r\n\r\n**Dataset Overview:**\r\nThe dataset consists of 3,383 annotated mammogram images, organized into directories and preprocessed to 640x640 pixels for consistent input into deep learning models. These images focus on breast tumors and have been preprocessed for computer vision tasks, making them suitable for training CNN models.\r\n\r\n**Target Audience:**\r\n1. **Healthcare Providers and Radiologists:** Support diagnostic accuracy and efficiency by leveraging AI models for rapid initial screening of mammograms.\r\n2. **Medical AI Researchers:** Aid in the development and evaluation of CNN architectures for medical image classification, especially for cancer detection.\r\n3. **Healthcare Systems and Hospitals:** Implement CNN-based automated screening tools to support radiologists and improve patient outcomes.\r\n\r\n**Key Business Questions:**\r\n1. Can a CNN model detect and classify breast tumors in mammogram images with high accuracy?\r\n2. How effective is the model in differentiating between benign and malignant tumors?\r\n3. What impact can an AI-assisted diagnostic tool have on workflow efficiency and diagnostic accuracy for radiologists?\r\n\r\n**Business Value:**\r\nBy implementing a CNN-based breast tumor detection tool, healthcare providers could achieve faster diagnosis, improved screening capacity, and potential cost savings. Early detection facilitated by this model can also lead to more timely treatments and better patient outcomes, providing a significant contribution to breast cancer care and research.","metadata":{}},{"cell_type":"code","source":"import os\nimport random\nimport sys\nimport cv2\nimport tqdm\nfrom PIL import Image\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay\nimport tensorflow as tf\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Conv2D, MaxPooling2D, Flatten, Dense, Dropout\nfrom tensorflow.keras.preprocessing.image import ImageDataGenerator\nfrom tensorflow.keras.callbacks import EarlyStopping, ReduceLROnPlateau\nfrom tensorflow.keras.metrics import AUC, Recall\nfrom tensorflow.keras.layers import Dense, GlobalAveragePooling2D\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Dense, Conv2D, MaxPooling2D, Flatten, GlobalAveragePooling2D,Dropout\nfrom tensorflow.keras.models import Model\nfrom tensorflow.keras.preprocessing.image import ImageDataGenerator\nfrom tensorflow.keras.callbacks import EarlyStopping, ReduceLROnPlateau","metadata":{"id":"9lFoNHujvx-y","execution":{"iopub.status.busy":"2025-06-23T18:12:45.16872Z","iopub.execute_input":"2025-06-23T18:12:45.16908Z","iopub.status.idle":"2025-06-23T18:12:45.175365Z","shell.execute_reply.started":"2025-06-23T18:12:45.169032Z","shell.execute_reply":"2025-06-23T18:12:45.174537Z"},"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"<a id=\"1\"></a>\n# <div style=\"text-align:center; border-radius:15px 50px; padding:7px; color:white; margin:0; font-size:110%; font-family:Pacifico; background-color:#0073e6; overflow:hidden\"><b> Part 2 - Database </b></div>","metadata":{}},{"cell_type":"code","source":"# Database\ntrain_dir = \"/kaggle/input/breast-cancer-detection/train\"\ntest_dir = \"/kaggle/input/breast-cancer-detection/test\"\nval_dir = \"/kaggle/input/breast-cancer-detection/valid\"","metadata":{"id":"fOMJm6DjVhvc","execution":{"iopub.status.busy":"2025-06-23T18:12:59.357844Z","iopub.execute_input":"2025-06-23T18:12:59.35876Z","iopub.status.idle":"2025-06-23T18:12:59.36289Z","shell.execute_reply.started":"2025-06-23T18:12:59.358721Z","shell.execute_reply":"2025-06-23T18:12:59.361881Z"},"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"<a id=\"1\"></a>\n# <div style=\"text-align:center; border-radius:15px 50px; padding:7px; color:white; margin:0; font-size:110%; font-family:Pacifico; background-color:#0073e6; overflow:hidden\"><b> Part 3 - Preprocessing </b></div>","metadata":{}},{"cell_type":"code","source":"# Train data preparation\nclasses = [\"0\", \"1\"]\ntrain_dataset = []\nfor class_label in classes:\n    class_path = os.path.join(train_dir, class_label)\n    label_index = classes.index(class_label)\n    for img_file in tqdm.tqdm(os.listdir(class_path)):\n        img_full_path = os.path.join(class_path, img_file)\n        img = cv2.imread(img_full_path)\n        img = cv2.resize(img, (224, 224))\n        train_dataset.append([img, label_index])","metadata":{"id":"zYY5pVuaVhy2","execution":{"iopub.status.busy":"2025-06-23T18:13:03.620562Z","iopub.execute_input":"2025-06-23T18:13:03.621242Z","iopub.status.idle":"2025-06-23T18:13:24.464474Z","shell.execute_reply.started":"2025-06-23T18:13:03.621207Z","shell.execute_reply":"2025-06-23T18:13:24.463647Z"},"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# Test data preparation\ntest_dataset = []\nfor class_label in classes:\n    class_path = os.path.join(test_dir, class_label)\n    label_index = classes.index(class_label)\n    for img_file in tqdm.tqdm(os.listdir(class_path)):\n        img_full_path = os.path.join(class_path, img_file)\n        img = cv2.imread(img_full_path)\n        img = cv2.resize(img, (224, 224))\n        test_dataset.append([img, label_index])\n\n# Validation data Preparation\nval_dataset = []\nfor class_label in classes:\n    class_path = os.path.join(val_dir, class_label)\n    label_index = classes.index(class_label)\n    for img_file in tqdm.tqdm(os.listdir(class_path)):\n        img_full_path = os.path.join(class_path, img_file)\n        img = cv2.imread(img_full_path)\n        img = cv2.resize(img, (224, 224))\n        val_dataset.append([img, label_index])","metadata":{"id":"IUi6why0Vh1i","execution":{"iopub.status.busy":"2025-06-23T18:13:30.807615Z","iopub.execute_input":"2025-06-23T18:13:30.807945Z","iopub.status.idle":"2025-06-23T18:13:38.295044Z","shell.execute_reply.started":"2025-06-23T18:13:30.807913Z","shell.execute_reply":"2025-06-23T18:13:38.294135Z"},"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# Validation data Preparation\nval_dataset = []\nfor class_label in classes:\n    class_path = os.path.join(val_dir, class_label)  \n    label_index = classes.index(class_label)\n    for img_file in tqdm.tqdm(os.listdir(class_path)):\n        img_full_path = os.path.join(class_path, img_file)\n        img = cv2.imread(img_full_path)\n        img = cv2.resize(img, (224, 224))\n        val_dataset.append([img, label_index])","metadata":{"id":"clhtf3e3Vh4k","execution":{"iopub.status.busy":"2025-06-23T18:13:41.814309Z","iopub.execute_input":"2025-06-23T18:13:41.814977Z","iopub.status.idle":"2025-06-23T18:13:43.962477Z","shell.execute_reply.started":"2025-06-23T18:13:41.814943Z","shell.execute_reply":"2025-06-23T18:13:43.961608Z"},"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# Data shuffling\nrandom.shuffle(train_dataset)\nrandom.shuffle(test_dataset)\nrandom.shuffle(val_dataset)","metadata":{"id":"e1lqxb65Vh7j","execution":{"iopub.status.busy":"2025-06-23T18:13:58.163199Z","iopub.execute_input":"2025-06-23T18:13:58.16352Z","iopub.status.idle":"2025-06-23T18:13:58.169322Z","shell.execute_reply.started":"2025-06-23T18:13:58.163492Z","shell.execute_reply":"2025-06-23T18:13:58.168397Z"},"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# List to numpy array conversion\n# Train data\nX_train_images = []\ny_train_labels = []\nfor img, label in train_dataset:\n    X_train_images.append(img)\n    y_train_labels.append(label)\n\nX_train = np.array(X_train_images)/255\ny_train = np.array(y_train_labels)\n\n# Test data\nX_test_images = []\ny_test_labels = []\nfor img, label in test_dataset:\n    X_test_images.append(img)\n    y_test_labels.append(label)\n\nX_test = np.array(X_test_images)/255\ny_test = np.array(y_test_labels)\n\n# Validation data\nX_val_images = []\ny_val_labels = []\nfor img, label in val_dataset:\n    X_val_images.append(img)\n    y_val_labels.append(label)\n\nX_val = np.array(X_val_images)/255\ny_val = np.array(y_val_labels)","metadata":{"id":"sm4vRl8wVh-g","execution":{"iopub.status.busy":"2025-06-23T18:14:21.935233Z","iopub.execute_input":"2025-06-23T18:14:21.936226Z","iopub.status.idle":"2025-06-23T18:14:23.350795Z","shell.execute_reply.started":"2025-06-23T18:14:21.936181Z","shell.execute_reply":"2025-06-23T18:14:23.350105Z"},"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"<a id=\"1\"></a>\n# <div style=\"text-align:center; border-radius:15px 50px; padding:7px; color:white; margin:0; font-size:110%; font-family:Pacifico; background-color:#0073e6; overflow:hidden\"><b> Part 4 - Exploratory data analysis </b></div>","metadata":{}},{"cell_type":"code","source":"# Load a sample image (replace with the actual path of an image in your dataset)\n# Update to the correct image path\nsample_image_path = '/kaggle/input/breast-cancer-detection/train/0/105_1232990271_png.rf.0d15468a4bec2ad2147f0616b6821681.jpg'\n\ntry:\n    sample_image = Image.open(sample_image_path).resize((640, 640))\n    plt.imshow(sample_image)\n    plt.axis('off')  # Turn off the axes for a cleaner visualization\n    plt.show()\nexcept FileNotFoundError:\n    print(\"Please replace 'sample_image_path.jpg' with the correct image path on your system.\")\n\n# Load a sample image (replace with the actual path of an image in your dataset)\nsample_image_path = '/kaggle/input/breast-cancer-detection/train/0/106_1160585918_png.rf.ddf71d5395cefb701d0b9ec2b0d81176.jpg'  # Update to the correct image path\n\ntry:\n    sample_image = Image.open(sample_image_path).resize((640, 640))\n    plt.imshow(sample_image)\n    plt.axis('off')  # Turn off the axes for a cleaner visualization\n    plt.show()\nexcept FileNotFoundError:\n    print(\"Please replace 'sample_image_path.jpg' with the correct image path on your system.\")","metadata":{"id":"nZAFE8WQYX_T","execution":{"iopub.status.busy":"2025-06-23T18:14:27.906948Z","iopub.execute_input":"2025-06-23T18:14:27.90765Z","iopub.status.idle":"2025-06-23T18:14:28.273167Z","shell.execute_reply.started":"2025-06-23T18:14:27.907615Z","shell.execute_reply":"2025-06-23T18:14:28.272133Z"},"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# Sample Visualization\nnum_samples = 6\nrandom_samples = np.random.choice(len(X_train), num_samples, replace=False)\n\nfig, axes = plt.subplots(2, 3, figsize=(10, 7))\nfor i, idx in enumerate(random_samples):\n    ax = axes[i // 3, i % 3]\n    ax.imshow(X_train[idx], cmap='gray')\n    ax.set_title(f\"Label: {y_train[idx]}\")\n    ax.axis('off')\n\nplt.tight_layout()\nplt.show()","metadata":{"id":"HTdmCtX-ViEI","execution":{"iopub.status.busy":"2025-06-23T18:14:56.368537Z","iopub.execute_input":"2025-06-23T18:14:56.368855Z","iopub.status.idle":"2025-06-23T18:14:57.012768Z","shell.execute_reply.started":"2025-06-23T18:14:56.368825Z","shell.execute_reply":"2025-06-23T18:14:57.011877Z"},"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"<a id=\"1\"></a>\n# <div style=\"text-align:center; border-radius:15px 50px; padding:7px; color:white; margin:0; font-size:110%; font-family:Pacifico; background-color:#0073e6; overflow:hidden\"><b> Part 5 - Neural network</b></div>","metadata":{}},{"cell_type":"markdown","source":"**Definition:** Convolutional Neural Network (CNN) \n\nA Convolutional Neural Network (CNN) is a type of deep learning model specifically designed to process and analyze visual data, such as images and videos. CNNs are particularly effective for image classification, object detection, and recognition tasks. They are structured to automatically and adaptively learn spatial hierarchies of features, from simple edges to complex patterns.\r\n\r\n**Key Components of CNNs:**\r\n\r\n1. **Convolutional Layers**: These layers apply a set of filters (or kernels) across the input image to capture local patterns such as edges, textures, or colors. Each filter produces a feature map, highlighting specific patterns in the image.\r\n\r\n2. **Pooling Layers**: Pooling layers reduce the spatial dimensions of the feature maps, keeping only the most important information. This process helps make the network more efficient, reduces overfitting, and allows it to focus on the most relevant parts of the data.\r\n\r\n3. **Fully Connected (Dense) Layers**: After the convolutional and pooling layers, the features are flattened into a single vector and passed through dense layers. These layers make the final classification or prediction by learning complex combinations of features.\r\n\r\n4. **Activation Functions**: Commonly used activation functions like ReLU (Rectified Linear Unit) add non-linearity, enabling the network to learn complex patterns.\r\n\r\n5. **Dropout**: To prevent overfitting, CNNs often use dropout, which randomly sets a fraction of input units to zero during training.\r\n\r\n**How CNNs Work:**\r\nCNNs scan images by sliding their filters over them to detect patterns. Through training, these filters learn to identify specific visual features, such as edges in early layers and more abstract concepts in deeper layers. The final layers combine these features to make predictions, making CNNs highly effective in visual and spatial data tasks.\r\n\r\nCNNs have become the standard approach in computer vision applications, such as facial recognition, self-driving cars, medical image analysis, and more. They are favored for their ability to process large volumes of visual data with high accuracy.\n\n","metadata":{}},{"cell_type":"markdown","source":"![{ECEA9B92-B848-4321-BAE7-27DB4CC1CA7A}.png](attachment:401f4fde-d553-416a-ab8e-061ffa5c52b6.png)","metadata":{},"attachments":{"401f4fde-d553-416a-ab8e-061ffa5c52b6.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"This neural network model is a Convolutional Neural Network (CNN) designed for binary classification.\r\n\r\n1. **Input Layer**: \r\n   - `Conv2D(100, (3, 3), activation=\"relu\", input_shape=(224, 224, 3))`\r\n   - The model takes an image input of shape 224x224 pixels with 3 color channels (RGB).\r\n   - The first convolutional layer has 100 filters with a 3x3 kernel size, using the ReLU activation function. This layer extracts features like edges and textures from the image.\r\n\r\n2. **Convolutional and Pooling Layers**:\r\n   - `MaxPooling2D(2, 2)`: This layer performs max pooling with a 2x2 filter, reducing the spatial dimensions of the feature maps by half, which helps in reducing the computation and focuses on the most relevant features.\r\n   - Additional `Conv2D` and `MaxPooling2D` layers progressively increase the depth of feature maps while reducing their spatial size. These layers allow the network to learn more complex patterns and details in the images, making it robust for feature extraction.\r\n\r\n3. **Flatten Layer**:\r\n   - `Flatten()`: This layer transforms the 2D matrix of features into a 1D vector, making it suitable for the fully connected layers.\r\n\r\n4. **Fully Connected Layers (Dense Layers)**:\r\n   - `Dense(64, activation=\"relu\")` and `Dense(32, activation=\"relu\")`: These dense layers add complexity to the model, learning non-linear combinations of the features extracted by the convolutional layers.\r\n   - Dropout layers (`Dropout(.2)` and `Dropout(.3)`) are used between some dense layers to prevent overfitting by randomly setting a fraction of input units to zero during training, which promotes generalization.\r\n\r\n5. **Output Layer**:\r\n   - `Dense(1, activation='sigmoid')`: The final layer has one neuron with a sigmoid activation function, outputting a value between 0 and 1. This is ideal for binary classification, where the output can be interpreted as the probability of the image belonging to one of the two classes.\r\n\r\n6. **Compilation**:\r\n   - The model is compiled with the Adam optimizer, which is an adaptive learning rate optimization algorithm. It uses binary cross-entropy as the loss function, which is suitable for binary classification tasks, and tracks accuracy as the performance metric.\r\n\r\nOverall, this CNN architecture is well-suited for image classification tasks where the objective is to predict between two classes (e.g., benign vs. malignant tumors in mammogram images). The combination of convolutional layers and dense layers allows the model to extract spatial features from the image, and the dropout layers help reduce the risk of overfitting, improving generalization.","metadata":{}},{"cell_type":"code","source":"# Initialize a Sequential model\nmodel = Sequential()\n\n# First convolutional layer with 100 filters of size 3x3, using ReLU activation\n# The input shape is set to 224x224 pixels with 3 color channels (RGB)\nmodel.add(Conv2D(100, (3, 3), activation=\"relu\", input_shape=(224, 224, 3)))\n\n# First max pooling layer to reduce spatial dimensions (down-sampling by half)\nmodel.add(MaxPooling2D(2, 2))\n\n# Second convolutional layer with 100 filters of size 3x3, using ReLU activation\nmodel.add(Conv2D(100, (3, 3), activation=\"relu\"))\n\n# Second max pooling layer for further down-sampling\nmodel.add(MaxPooling2D(2, 2))\n\n# Third convolutional layer with 64 filters of size 3x3, using ReLU activation\nmodel.add(Conv2D(64, (3, 3), activation=\"relu\"))\n\n# Fourth convolutional layer, also with 64 filters of size 3x3, using ReLU activation\nmodel.add(Conv2D(64, (3, 3), activation=\"relu\"))\n\n# Third max pooling layer to further reduce spatial dimensions\nmodel.add(MaxPooling2D(2, 2))\n\n# Flatten the feature maps into a 1D vector for the fully connected layers\nmodel.add(Flatten())\n\n# First fully connected layer with 64 units and ReLU activation\nmodel.add(Dense(64, activation=\"relu\"))\n\n# Dropout layer to randomly set 20% of the inputs to zero, preventing overfitting\nmodel.add(Dropout(.2))\n\n# Second fully connected layer with 32 units and ReLU activation\nmodel.add(Dense(32, activation=\"relu\"))\n\n# Dropout layer to randomly set 30% of the inputs to zero, for further regularization\nmodel.add(Dropout(.3))\n\n# Third fully connected layer with 32 units and ReLU activation\nmodel.add(Dense(32, activation=\"relu\"))\n\n# Output layer with 1 unit and sigmoid activation for binary classification\nmodel.add(Dense(1, activation='sigmoid'))\n\n# Compile the model with Adam optimizer and binary cross-entropy loss for binary classification\n# Use accuracy as the evaluation metric\nmodel.compile(optimizer=\"adam\", loss='binary_crossentropy', metrics=['accuracy'])\n\n# Display the model summary for an overview of the layers and parameters\nmodel.summary()","metadata":{"id":"3WthPNUaViG0","execution":{"iopub.status.busy":"2025-06-23T18:15:06.217837Z","iopub.execute_input":"2025-06-23T18:15:06.218547Z","iopub.status.idle":"2025-06-23T18:15:07.237432Z","shell.execute_reply.started":"2025-06-23T18:15:06.218513Z","shell.execute_reply":"2025-06-23T18:15:07.236662Z"},"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# Training the model\nhistory = model.fit(X_train, y_train, epochs=30, validation_data=(X_val, y_val), verbose=1)","metadata":{"id":"GJh9N28oViJr","execution":{"iopub.status.busy":"2025-06-23T18:15:29.170811Z","iopub.execute_input":"2025-06-23T18:15:29.17153Z","iopub.status.idle":"2025-06-23T18:19:54.805574Z","shell.execute_reply.started":"2025-06-23T18:15:29.171494Z","shell.execute_reply":"2025-06-23T18:19:54.804548Z"},"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# Graphs and Metrics\nplt.figure(figsize=(30.5, 10))\n\n# Accuracy Graph\nplt.subplot(1, 2, 1)\nplt.plot(history.history['accuracy'], label='Train Accuracy')\nplt.plot(history.history['val_accuracy'], label='Val Accuracy')\nplt.title('Model Accuracy')\nplt.xlabel('Epochs')\nplt.ylabel('Accuracy')\nplt.legend()\n\n# Loss Graph\nplt.subplot(1, 2, 2)\nplt.plot(history.history['loss'], label='Train Loss')\nplt.plot(history.history['val_loss'], label='Val Loss')\nplt.title('Model Loss')\nplt.xlabel('Epochs')\nplt.ylabel('Loss')\nplt.legend()\n\nplt.tight_layout()\nplt.show()","metadata":{"id":"if6itHpFWkyA","execution":{"iopub.status.busy":"2025-06-23T18:20:18.145605Z","iopub.execute_input":"2025-06-23T18:20:18.145923Z","iopub.status.idle":"2025-06-23T18:20:18.857666Z","shell.execute_reply.started":"2025-06-23T18:20:18.145895Z","shell.execute_reply":"2025-06-23T18:20:18.856711Z"},"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"<a id=\"1\"></a>\n# <div style=\"text-align:center; border-radius:15px 50px; padding:7px; color:white; margin:0; font-size:110%; font-family:Pacifico; background-color:#0073e6; overflow:hidden\"><b> Part 6 - Metrics and evaluation</b></div>","metadata":{}},{"cell_type":"code","source":"# Confusion Matrix\nthreshold = 0.5\ny_pred = (model.predict(X_test) >= threshold).astype(int)\n\nmodel.evaluate(X_test, y_test)","metadata":{"id":"HLiRIwnyWr-J","execution":{"iopub.status.busy":"2025-06-23T18:20:24.152972Z","iopub.execute_input":"2025-06-23T18:20:24.153367Z","iopub.status.idle":"2025-06-23T18:20:28.366936Z","shell.execute_reply.started":"2025-06-23T18:20:24.153331Z","shell.execute_reply":"2025-06-23T18:20:28.365987Z"},"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay\n\n# Compute confusion matrix\ncm = confusion_matrix(y_test, y_pred)\n\n# Plot confusion matrix with custom labels\nplt.figure(figsize=(8, 6))\ndisp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=['Non-malignant', 'Malignant cancer'])\ndisp.plot(cmap=plt.cm.Blues)\nplt.xticks(rotation=45)\nplt.title(\"Confusion Matrix\")\nplt.show()","metadata":{"id":"hCc1HP0MWsA3","execution":{"iopub.status.busy":"2025-06-23T18:20:32.487122Z","iopub.execute_input":"2025-06-23T18:20:32.487853Z","iopub.status.idle":"2025-06-23T18:20:32.732362Z","shell.execute_reply.started":"2025-06-23T18:20:32.48782Z","shell.execute_reply":"2025-06-23T18:20:32.731511Z"},"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"from sklearn.metrics import classification_report\n\n# Generate classification report\nreport = classification_report(y_test, y_pred, target_names=['Non-malignant', 'Malignant cancer'])\n\n# Print the classification report\nprint(\"Classification Report:\")\nprint(report)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-06-23T18:20:42.561397Z","iopub.execute_input":"2025-06-23T18:20:42.5621Z","iopub.status.idle":"2025-06-23T18:20:42.575862Z","shell.execute_reply.started":"2025-06-23T18:20:42.562048Z","shell.execute_reply":"2025-06-23T18:20:42.575034Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"from sklearn.metrics import accuracy_score\n\n# Calculate accuracy\naccuracy = accuracy_score(y_test, y_pred)\n\n# Create a DataFrame to store the accuracy\naccuracy_df = pd.DataFrame({'Metric': ['Accuracy'],\n                            'Score': [accuracy]})\n\n# Display the DataFrame\naccuracy_df","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-06-23T18:20:46.849483Z","iopub.execute_input":"2025-06-23T18:20:46.850158Z","iopub.status.idle":"2025-06-23T18:20:46.872019Z","shell.execute_reply.started":"2025-06-23T18:20:46.850107Z","shell.execute_reply":"2025-06-23T18:20:46.870938Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# Save the model after training\nmodel.save('/kaggle/working/breast_cancer_model.h5')","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-06-23T18:20:51.686675Z","iopub.execute_input":"2025-06-23T18:20:51.687504Z","iopub.status.idle":"2025-06-23T18:20:51.780956Z","shell.execute_reply.started":"2025-06-23T18:20:51.687469Z","shell.execute_reply":"2025-06-23T18:20:51.780014Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"<a id=\"1\"></a>\n# <div style=\"text-align:center; border-radius:15px 50px; padding:7px; color:white; margin:0; font-size:110%; font-family:Pacifico; background-color:#0073e6; overflow:hidden\"><b> Part 7 - Forecast images</b></div>","metadata":{}},{"cell_type":"code","source":"# Assuming X_test and y_test are your test data and labels\npredictions = model.predict(X_test)\n\n# Convert probabilities to binary predictions (0 or 1)\npredictions = (predictions > 0.5).astype(int)  \n\n# Separate indices of predicted classes\nclass_0_indices = np.where(predictions.flatten() == 0)[0]\nclass_1_indices = np.where(predictions.flatten() == 1)[0]\n\n# Display up to 5 examples for each class\nnum_examples = 5\nfig, axes = plt.subplots(2, num_examples, figsize=(20, 6))\n\n# Plot class 0 predictions\nfor i, idx in enumerate(class_0_indices[:num_examples]):\n    axes[0, i].imshow(X_test[idx])\n    axes[0, i].set_title(f\"Pred: 0 | Actual: {y_test[idx]}\")\n    axes[0, i].axis('off')\n\n# Plot class 1 predictions\nfor i, idx in enumerate(class_1_indices[:num_examples]):\n    axes[1, i].imshow(X_test[idx])\n    axes[1, i].set_title(f\"Pred: 1 | Actual: {y_test[idx]}\")\n    axes[1, i].axis('off')\n\n# Set row titles\naxes[0, 0].set_ylabel(\"Class 0\")\naxes[1, 0].set_ylabel(\"Class 1\")\n\nplt.suptitle(\"CNN Model Predictions for Classes 0 and 1\")\nplt.show()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-06-23T18:20:55.934322Z","iopub.execute_input":"2025-06-23T18:20:55.935222Z","iopub.status.idle":"2025-06-23T18:20:57.605534Z","shell.execute_reply.started":"2025-06-23T18:20:55.935186Z","shell.execute_reply":"2025-06-23T18:20:57.60463Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"<a id=\"1\"></a>\n# <div style=\"text-align:center; border-radius:15px 50px; padding:7px; color:white; margin:0; font-size:110%; font-family:Pacifico; background-color:#0073e6; overflow:hidden\"><b> Part 8 - Image prediction with opencv</b></div>","metadata":{}},{"cell_type":"code","source":"import cv2\nimport numpy as np\nimport os\nfrom tensorflow.keras.preprocessing import image\nimport matplotlib.pyplot as plt\nfrom tensorflow.keras.models import load_model\nimport glob","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-06-23T18:21:05.932231Z","iopub.execute_input":"2025-06-23T18:21:05.933032Z","iopub.status.idle":"2025-06-23T18:21:05.938206Z","shell.execute_reply.started":"2025-06-23T18:21:05.932982Z","shell.execute_reply":"2025-06-23T18:21:05.937292Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# Load the trained model\nmodel = load_model('/kaggle/working/breast_cancer_model.h5')\n\n# Path to the image to predict\nimg_path = '/kaggle/input/breast-cancer-detection/test/0/1890_712521570_png.rf.6fca80e8b87142cc12b129e85e664eb7.jpg'\n\n# Test loading the image\nimg_test = cv2.imread(img_path)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-06-23T18:21:09.533788Z","iopub.execute_input":"2025-06-23T18:21:09.534593Z","iopub.status.idle":"2025-06-23T18:21:09.69187Z","shell.execute_reply.started":"2025-06-23T18:21:09.534556Z","shell.execute_reply":"2025-06-23T18:21:09.690945Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# Check if the image loaded correctly\nif img_test is None:\n    print(\"Error loading image. Check the path.\")\nelse:\n    # Convert BGR to RGB for display\n    img_rgb = cv2.cvtColor(img_test, cv2.COLOR_BGR2RGB)\n    plt.imshow(img_rgb)\n    plt.axis('off')\n    plt.show()\n\n# Prediction and display function with a rectangle\ndef predict_and_display(model, img_path, threshold=0.5):\n    # Load the image using OpenCV\n    img_cv = cv2.imread(img_path)\n\n    # Make a copy for display\n    img_copy = img_cv.copy()\n\n    # Resize image to 224x224 as required by the CNN model\n    img_resized = cv2.resize(img_cv, (224, 224))\n\n    # Preprocess the image for the model\n    img_array = image.img_to_array(img_resized) / 255.0  # Normalize\n    img_array = np.expand_dims(img_array, axis=0)  # Add batch dimension\n\n    # Make the prediction\n    prediction = model.predict(img_array)\n\n    # Define the label and color based on the prediction\n    if prediction[0] >= threshold:\n        label = \"Cancer: Yes\"\n        color = (0, 0, 255)  # Red for cancer\n    else:\n        label = \"Cancer: No\"\n        color = (0, 255, 0)  # Green for no cancer\n\n    # Draw a rectangle around the original image\n    height, width, _ = img_copy.shape\n    padding = 100  # Adjust for square size\n    start_point = (padding, padding)\n    end_point = (width - padding, height - padding)\n\n    # Draw the rectangle\n    img_with_rectangle = cv2.rectangle(img_copy, start_point, end_point, color, 5)\n\n    # Put the label text on the image\n    img_with_text = cv2.putText(img_with_rectangle, label, (50, height - 60),\n                                cv2.FONT_HERSHEY_SIMPLEX, 1, color, 2, cv2.LINE_AA)\n\n    # Convert BGR to RGB for display\n    img_rgb = cv2.cvtColor(img_with_text, cv2.COLOR_BGR2RGB)\n    \n    # Display the image with matplotlib\n    plt.figure(figsize=(8, 8))\n    plt.imshow(img_rgb)\n    plt.axis('off')\n    plt.show()\n\n# Predict and display\npredict_and_display(model, img_path)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-06-23T18:21:13.560146Z","iopub.execute_input":"2025-06-23T18:21:13.5608Z","iopub.status.idle":"2025-06-23T18:21:14.772704Z","shell.execute_reply.started":"2025-06-23T18:21:13.560763Z","shell.execute_reply":"2025-06-23T18:21:14.771985Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# Load the trained model\nmodel = load_model('/kaggle/working/breast_cancer_model.h5')\n\n# Define the directory containing the validation images\nimg_dir = '/kaggle/input/breast-cancer-detection/valid'","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-06-23T18:21:56.223525Z","iopub.execute_input":"2025-06-23T18:21:56.223856Z","iopub.status.idle":"2025-06-23T18:21:56.3631Z","shell.execute_reply.started":"2025-06-23T18:21:56.223826Z","shell.execute_reply":"2025-06-23T18:21:56.362199Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# Function to predict and display each image with bounding box and label\ndef predict_and_display(model, img_path, threshold=0.5):\n    # Load the image using OpenCV\n    img_cv = cv2.imread(img_path)\n    if img_cv is None:\n        print(f\"Error loading image: {img_path}\")\n        return\n\n    # Make a copy of the original image for modification\n    img_copy = img_cv.copy()\n\n    # Resize the image to 224x224 pixels as required by the CNN model\n    img_resized = cv2.resize(img_cv, (224, 224))\n\n    # Preprocess the image for the model\n    img_array = image.img_to_array(img_resized) / 255.0  # Normalize the image (scale pixel values to [0,1])\n    img_array = np.expand_dims(img_array, axis=0)  # Add a batch dimension for the model input\n\n    # Make the prediction using the CNN model\n    prediction = model.predict(img_array)\n\n    # Define the label and color based on the prediction\n    if prediction[0] >= threshold:\n        label = \"Cancer: Yes\"\n        color = (0, 0, 255)  # Red color for positive prediction (Cancer: Yes)\n    else:\n        label = \"Cancer: No\"\n        color = (0, 255, 0)  # Green color for negative prediction (Cancer: No)\n\n    # Draw a bounding box around the original image\n    height, width, _ = img_copy.shape\n    padding = 50  # Adjust the padding for the box size\n    start_point = (padding, padding)  # Start point of the bounding box\n    end_point = (width - padding, height - padding)  # End point of the bounding box\n\n    # Draw the rectangle and label on the image\n    img_with_rectangle = cv2.rectangle(img_copy, start_point, end_point, color, 5)  # Draw rectangle\n    img_with_text = cv2.putText(img_with_rectangle, label, (50, height - 60),  # Put label text\n                                cv2.FONT_HERSHEY_SIMPLEX, 1, color, 2, cv2.LINE_AA)\n\n    # Convert the image from BGR (OpenCV format) to RGB (Matplotlib format) for display\n    img_rgb = cv2.cvtColor(img_with_text, cv2.COLOR_BGR2RGB)\n\n    # Display the image with Matplotlib\n    plt.figure(figsize=(8, 8))\n    plt.imshow(img_rgb)\n    plt.axis('off')  # Turn off axes for a clean display\n    plt.show()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-06-23T18:22:00.517762Z","iopub.execute_input":"2025-06-23T18:22:00.518296Z","iopub.status.idle":"2025-06-23T18:22:00.530692Z","shell.execute_reply.started":"2025-06-23T18:22:00.518249Z","shell.execute_reply":"2025-06-23T18:22:00.529697Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"<a id=\"1\"></a>\n# <div style=\"text-align:center; border-radius:15px 50px; padding:7px; color:white; margin:0; font-size:110%; font-family:Pacifico; background-color:#0073e6; overflow:hidden\"><b> Part 9 - Viewing forecast images</b></div>","metadata":{}},{"cell_type":"code","source":"# Loop through each image in the validation directory and apply prediction\nfor img_path in glob.glob(os.path.join(img_dir, '*/*.jpg')):  # Adjust file extension if needed (e.g., .png)\n    print(f\"Processing: {img_path}\")\n    predict_and_display(model, img_path)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-06-23T18:22:08.861124Z","iopub.execute_input":"2025-06-23T18:22:08.862009Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null}]}