{"cells":[{"metadata":{},"cell_type":"markdown","source":"<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n<a id=\"10\"></a>\n<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:brown; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center>🔎 About the Disease - Pulmonary Embolism 🔍 </center></h2>\n    \nIf every breath is strained and painful, it could be a serious and potentially life-threatening condition. A pulmonary embolism (PE) is caused by an artery blockage in the lung. It is time consuming to confirm a PE and prone to overdiagnosis. Machine learning could help to more accurately identify PE cases, which would make management and treatment more effective for patients.\n\nCurrently, CT pulmonary angiography (CTPA), is the most common type of medical imaging to evaluate patients with suspected PE. These CT scans consist of hundreds of images that require detailed review to identify clots within the pulmonary arteries. As the use of imaging continues to grow, constraints of radiologists’ time may contribute to delayed diagnosis.\n\nThe Radiological Society of North America (RSNA®) has teamed up with the Society of Thoracic Radiology (STR) to help improve the use of machine learning in the diagnosis of PE.\n\nIn this competition, you’ll detect and classify PE cases. In particular, you'll use chest CTPA images (grouped together as studies) and your data science skills to enable more accurate identification of PE. If successful, you'll help reduce human delays and errors in detection and treatment.\n\nWith 60,000-100,000 PE deaths annually in the United States, it is among the most fatal cardiovascular diseases. Timely and accurate diagnosis will help these patients receive better care and may also improve outcomes.\n    \n<img src= \"https://images.medicinenet.com/images/article/main_image/pulmonary-embolism-lungs.jpg\">"},{"metadata":{},"cell_type":"markdown","source":"<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n<a id=\"10\"></a>\n<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:brown; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center>👀 Understanding the Data 👀 </center></h2>\n\nWe have the `training` and `test images`, as well as `train.csv` and `test.csv`. \n\nThe images are grouped in directories by `study` and `series`. \n\nThey are in `DICOM` format, and contain additional metadata that may be relevant to the competition. \n\nEach image has a unique identifier - `SOPInstanceUID`.\n\nThe location for each image is given by: `<StudyInstanceUID>/<SeriesInstanceUID>/<SOPInstanceUID>.dcm`.\n\n\n<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n<a id=\"10\"></a>\n<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:brown; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center>Train.csv📄 Test.csv 📄 & Sample Submission.csv 📜 </center></h2>\n\n* `train.csv` contains the three UIDs noted above, and a number of labels. Some are targets which require predictions, and some are informational, which will also be noted below in Data fields.\n\n* `test.csv` contains only the three UIDs.\n\n* `sample_submission.csv` contains rows for each UID+label combination that requires a prediction. Therefore it has a row for each image (for which we need to predict the existence of a pulmonary embolism within the image) and row for each study+label that requires a study-level prediction.\n\n<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n<a id=\"10\"></a>\n<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:brown; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center> 🖍 What are we predicting 🖍 </center></h2>\n    \nIn this competition we are predicting a number of labels, at both the image and study level. \n\nEach `UID+label` combination requires a prediction. So, we need to make a prediction for each image & also need to make a prediction for each study+label combination at study-level.\n<div class=\"alert alert-block alert-info\"><b>Note # 1✍:</b> Some labels are Logically Mutually Exclusive,predictions must adhere to the expected label hierarchy defined in this diagram, and the host will verify that prospective winners have not made conflicting label predictions!</div>\n  \n  \n  ![image.png](attachment:image.png) \n  \n  \nAbove image is a flowchart outlining the relationships between labels. \n\n<div class =\"alert alert-block alert-info\"> <b>Note # 2 ✍:</b> There are four labels in the training set that are purely informational and require no predictions. They are: \n    \n* QA Contrast\n* QA Motion\n* True filling defect not PE\n* Flow artifact </div>\n \nAbove labels are not scored, but are meant to be used as helpers. \n\n<div class=\"alert alert-block alert-info\"><b>Note # 3 ✍:</b> Acute PE is not an explicit label, but is implied by the lack of Chronic PE or Acute and Chronic PE</div>\n\nPredictions must adhere to the expected label hierarchy defined in this diagram, and the host will verify that prospective winners have not made conflicting label predictions, as detailed on the Prizes page.  \n\n<div class=\"alert alert-block alert-info\"> <b>Note # 4 ✍:</b> Submission kernels will NOT have access to train images, so we need to build our models elsewhere and incorporate them into our submissions</div>\n","attachments":{"image.png":{"image/png":"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"}}},{"metadata":{},"cell_type":"markdown","source":"<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n<a id=\"10\"></a>\n<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:brown; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center> 🥇🥈 Evaluation Metrics 🥉🏆  </center></h2>\n\nEvery `study / exam` has a row for each label that is scored. \n\nIt is uniquely indicated by the `StudyInstanceUID`. \n\nEvery image, further, has a row for the PE Present on Image label and is uniquely indicated by the SOPInstanceUID. \n    \nPrediction file should have a number of rows equal to: (number of images) + (number of studies * number of scored labels).\n\n### Metric🎯\nThe metric used in this competition is `weighted log loss`. \n\nIt is weighted to account for the relative importance of some labels. \n\nThere are `9 study-level labels` and `one image-level label`.\n\n#### Exam-level weighted log loss\nLet y_ij = 1 if label j was annotated to exam i and y_ij = 0, otherwise. Let p_ij be the predicted probability that y_ij = 1:\ni = 1, 2, …, N for N exams in the test set\nj = 1, 2, …, 9 labels\n\nLet w_j signify the weight for label j.\n\nThe weights are as follows:\n\n![image.png](attachment:image.png)\n\nKaggle uses a binary log loss equation for each label and then takes the mean of the log loss over all labels.\n\nThe binary weighted log loss function for label j on exam i is specified as:\nLij=−wj∗[yij∗log(pij)+(1−yij)∗log(1−pij)]\n\n\n#### Image-level weighted log loss\nLet y_ik = 1 if image k in exam i was annotated as ‘PE Present on Image’; otherwise, y_ik = 0.\nLet p_ik be the predicted probability that y_ik = 1.\nw = 0.07361963\ni = 1, 2, …, N exams\nk = 1, 2, …, n_i, where n_i is the number of images in exam i\n\nThen, let m_i = sum_(k = 1 to n_i) y_ik be the number of positive images in exam i such that\nq_i = m_i/n_i is the proportion of positive images in exam i\n\nAt the image level, we have a binary classification where the image is classified as PE Present on Image or not (image is negative for PE).\n\nThe image-level log loss is written as:\n\n\nThe total loss is the average of all image- and exam-level loss, divided by the sum of the 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"}}},{"metadata":{},"cell_type":"markdown","source":"<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n<a id=\"10\"></a>\n<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:brown; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center>📚 Load Necessary Libraries 📚  </center></h2>\n    "},{"metadata":{"trusted":true},"cell_type":"code","source":"import pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\n%matplotlib inline\nimport seaborn as sns\nimport plotly.express as px\n\nimport os\nimport glob\nimport pydicom\nfrom typing import Dict\nimport tqdm\n#color\nfrom colorama import Fore, Back, Style\n\nimport gc\n\n# my favourite style :-)\nplt.style.use('fivethirtyeight')","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n<a id=\"10\"></a>\n<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:brown; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center> 📃 Training & Test Datasets 📃</center></h2>\n    "},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"train_dir = \"/kaggle/input/rsna-str-pulmonary-embolism-detection/train/\"\ntest_dir = \"/kaggle/input/rsna-str-pulmonary-embolism-detection/test/\"\ntrain = pd.read_csv( \"/kaggle/input/rsna-str-pulmonary-embolism-detection/train.csv\")\ntest = pd.read_csv(\"/kaggle/input/rsna-str-pulmonary-embolism-detection/test.csv\")\nsubmission = pd.read_csv(\"/kaggle/input/rsna-str-pulmonary-embolism-detection/sample_submission.csv\")","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n<a id=\"10\"></a>\n<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:brown; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center> Add Path to the training dataset</center></h2>"},{"metadata":{"trusted":true},"cell_type":"code","source":"train['path'] = train_dir + train.StudyInstanceUID + \"/\" + train.SeriesInstanceUID + \"/\" + train.SOPInstanceUID + \".dcm\"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n<a id=\"10\"></a>\n<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:brown; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center> 📃 Let's take a look at the datasets 📃 </center></h2>"},{"metadata":{"trusted":true},"cell_type":"code","source":"print(\"Training dataset has {} rows & {} columns\".format(train.shape[0],train.shape[1]))\nprint(\"Testing  dataset has {}  rows &  {} columns\".format(test.shape[0],test.shape[1]))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test.head()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n<a id=\"10\"></a>\n<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:brown; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center> 👀 Null Values Check 👀</center></h2>"},{"metadata":{"trusted":true},"cell_type":"code","source":"train.isnull().sum()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test.isnull().sum()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train.info()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<div class=\"alert alert-block alert-info\"> <b>🔑 Observations:</b> \n\n*     No Null Values present in the dataset!\n   \n</div>"},{"metadata":{},"cell_type":"markdown","source":"<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n<a id=\"10\"></a>\n<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:brown; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center> 👁 No. of Unique values for each column 👁 </center></h2>"},{"metadata":{"trusted":true},"cell_type":"code","source":"for col in train.columns:\n    print(Fore.YELLOW +\"---------------------------------------------------\", Style.RESET_ALL)\n    print(Fore.BLUE + \"Unique values for the column\",col,\":\", Style.RESET_ALL)\n    print(Fore.GREEN , train[col].nunique()), Style.RESET_ALL\n    print(Fore.YELLOW +\"---------------------------------------------------\" + Style.RESET_ALL)    ","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<div class=\"alert alert-block alert-info\"> <b>🔑 Observations:</b> \n\n*     Training dataset has 7279 unique Study level UIDs\n \n*     Training dataset has 7279 unique Study level UIDs\n \n*     Training dataset has 1790594 unique SOP level UIDs\n\n*     Rest all columns are binary variables, which means they can have only 0 and 1 as possible values\n   \n</div>"},{"metadata":{},"cell_type":"markdown","source":"<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n<a id=\"10\"></a>\n<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:brown; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center> 📊 Data Distribution 📊</center></h2>"},{"metadata":{"trusted":true},"cell_type":"code","source":"for col in train.columns:\n    print(Fore.GREEN +\"---------------------------------------------------\", Style.RESET_ALL)\n    print(Fore.YELLOW + \"Values Distribution for the column\",col,\":\", Style.RESET_ALL)\n    print(Fore.BLUE , train[col].value_counts()), Style.RESET_ALL\n    print(Fore.GREEN +\"---------------------------------------------------\" + Style.RESET_ALL)    ","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n<a id=\"10\"></a>\n<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:brown; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center> 📊 Exploratory Data Analysis 📊</center></h2>"},{"metadata":{"trusted":true},"cell_type":"code","source":"# function to plot countplot and piechart for different columns present in the dataset\ndef plot_graphs(cols_dict):    \n    \n    fig = plt.figure(figsize = (15,50))\n    \n    idx = 1\n    \n    for key in cols_dict:   \n        value = cols_dict[key]         \n        # countplots\n        plt.subplot(6,2,idx)\n        sns.countplot(train[key],palette=\"hls\",alpha=0.9)              \n        plt.xlabel(value)\n        plt.ylabel(\"Frequency\")\n        plt.title(value)\n        idx = idx + 1\n    \n    #plt.suptitle(\"Predictor Variables -  Distribution Graph\")\n    \n    plt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"cols = {\"pe_present_on_image\":\"Pe Present On Image\",\n        \"negative_exam_for_pe\" :  \"Negative Exam For Pe\",\n        \"rv_lv_ratio_gte_1\" : \"Rv Lv Ratio Gte\",\n        \"rv_lv_ratio_lt_1\":\"Rv Lv Ratio Lt\",\n        \"leftsided_pe\" : \"Leftsided Pe\", \n        \"chronic_pe\" : \"Chronic Pe\",\n        \"true_filling_defect_not_pe\" : \"True Filling Defect Not Pe\" ,\n        \"rightsided_pe\" : \"Rightsided Pe\",\n        \"acute_and_chronic_pe\" : \"Acute And Chronic Pe\",\n        \"central_pe\":\"Central Pe\",\n        \"indeterminate\":\"Indeterminate\"}\nplot_graphs(cols)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<div class=\"alert alert-block alert-info\"> \n<b>🔑 Observations:  \n    \nData set is highly imbalanced, as all the predictor variables have one of the values in 80s and 90s % and the other one is very low in %\n\n</b></div>"},{"metadata":{},"cell_type":"markdown","source":"<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n<a id=\"10\"></a>\n<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:brown; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center> 💾 An Introduction to DICOM Files 💾 </center></h2>\n    \nDigital Imaging and Communications in Medicine (DICOM) is the standard for the communication and management of medical imaging information and related data.\n\nThese files may also include patient information to pair the image with the patient.\n\nDICOM is most commonly used for storing and transmitting medical images enabling the integration of medical imaging devices such as scanners, servers, workstations, printers, network hardware, and picture archiving and communication systems (PACS) from multiple manufacturers. \n    \nIt has been widely adopted by hospitals and is making inroads into smaller applications like dentists' and doctors' offices.\n\nMultiple .dcm files represent different slices of a single CT scan. CT scans produce 3D volumes for each scan, those volumes consist of 2D slices and each slice is a .dcm file.\n\nWe have 2 directories here, train and test, both these directories have dicom images for different-different patients."},{"metadata":{},"cell_type":"markdown","source":"<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n<a id=\"10\"></a>\n<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:brown; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center> 🎈 Explore training directory 🎈 </center></h2>"},{"metadata":{"trusted":true},"cell_type":"code","source":"print(\"There are {} StudyInstanceUID in the training dataset\".format(len(os.listdir(train_dir))))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"p_sizes = []\nfor d in os.listdir(train_dir):    \n    for sub in os.listdir(train_dir + d):   \n        p_sizes.append(len(os.listdir(train_dir + d + \"/\" + sub)))\n        print(\"StudyInstanceUID '{}' has {} SeriesInstanceUID\".format(d, len(os.listdir(train_dir + d + \"/\" + sub))))\n        print(\"StudyInstanceUID '{}' has {} instances of the Series {}\".format(d,len(os.listdir(train_dir + d + \"/\" + sub)),sub))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# lets visualize trainig data\nfig = plt.figure(figsize = (12,8))\np = sns.color_palette()\nplt.hist(p_sizes,color = \"purple\")\nplt.ylabel('Number of StudyInstanceUID')\nplt.xlabel('Count of Series UIDs')\nplt.title('Histogram of DICOM count per StudyInstanceUID - Training Data')","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n<a id=\"10\"></a>\n<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:brown; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center> 🎈 Load a Random DICOM Image 🎈 </center></h2>\n\nDICOM files can be read and processed easily with pydicom package. \n    \nDICOM files allow to store metadata along with pixel data inside them. \n    \nReading a dicom file creates a pydicom.dataset.FileDataset object. \nFileDataset object wraps dict and contains DataElement instances."},{"metadata":{"trusted":true},"cell_type":"code","source":"# lets read the first dicom image in training dataset\ndcm = train.path.iloc[0]\nprint('Filename: {}'.format(dcm))\ndcm = pydicom.read_file(dcm)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<div class=\"alert alert-block alert-info\"> \nNow, we have read the image in a variable called dcm, we can simply \"print\" this variable to see the information related to the image!\n </div>\n"},{"metadata":{"trusted":true},"cell_type":"code","source":"print(dcm)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<div class=\"alert alert-block alert-info\"> \n\nThere are two things here that I think are significant, slice location and the 'Pixel Data'.\n\nWe can retrieve a image as a numpy array by calling dcm.pixel_array, and we can then replace the -2000s, which are essentially NAs, with 0s.\n    \n</div>"},{"metadata":{"trusted":true},"cell_type":"code","source":"# display the image read above\nfig = plt.figure(figsize = (20,50))\n\nimg = dcm.pixel_array\nimg[img == -2000] = 0\n\nplt.subplot(121)\nplt.axis('off')\nplt.imshow(img)\n\nplt.subplot(122)\nplt.axis('off')\nplt.imshow(-img) # Invert colors with -\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n<a id=\"10\"></a>\n<h2 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\" style='background:brown; border:0; color:white' role=\"tab\" aria-controls=\"home\"><center> 💾 Let's Load some more Random DICOM Images 💾 </center></h2>"},{"metadata":{"trusted":true},"cell_type":"code","source":"# helper function\ndef dicom_to_image(filename):\n    dcm = pydicom.read_file(filename)\n    img = dcm.pixel_array\n    img[img == -2000] = 0\n    return img","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# lets display some 20 images at random\nfiles = train.path.iloc[0:20]\n\nf, plots = plt.subplots(4, 5, sharex='col', sharey='row', figsize=(10, 8))\nfor i in range(20):\n    plots[i // 5, i % 5].axis('off')\n    plots[i // 5, i % 5].imshow(dicom_to_image(np.random.choice(files)), cmap=plt.cm.bone)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"This gives us some idea with the sort of images we're dealing with."},{"metadata":{},"cell_type":"markdown","source":"#  Extracting DIOCOM files information in a dataframe "},{"metadata":{"trusted":true},"cell_type":"code","source":"def extract_dicom_meta_data(filename: str) -> Dict:\n    # Load image\n    dcm = pydicom.read_file(filename)\n    img=np.array(dcm.pixel_array).flatten()\n    data = {\n        'study_instance_uid': dcm.StudyInstanceUID,\n        'series_instance_uid': dcm.SeriesInstanceUID,\n        'series_number': dcm.SeriesNumber,\n        'instance_number': dcm.InstanceNumber,\n        'specific_character_set': dcm.SpecificCharacterSet,\n        #'image_type': dcm.ImageType,\n        'sop_class_uid': dcm.SOPClassUID,\n        'sop_instance_uid': dcm.SOPInstanceUID,\n        'modality': dcm.Modality,\n        'slice_thickness': dcm.SliceThickness,\n        'kvp': dcm.KVP,\n        'gantry_detector': dcm.GantryDetectorTilt,\n        'table_height': dcm.TableHeight,\n        'rotation_direction': dcm.RotationDirection,\n        'x_ray_tube_current': dcm.XRayTubeCurrent,\n        'exposure': dcm.Exposure,\n        'convolution_kernel' : dcm.ConvolutionKernel,\n        'patient_position' : dcm.PatientPosition,\n        #'image_position_patient' : dcm.ImagePositionPatient,\n        #'image_orientation_patient': dcm.ImageOrientationPatient,\n        'frame_of_reference_uid' : dcm.FrameOfReferenceUID,\n        'samples_per_pixel' : dcm.SamplesPerPixel,\n        'photometric_interpretation' : dcm.PhotometricInterpretation,\n        'rows' : dcm.Rows,\n        'columns' : dcm.Columns,\n        'pixel_spacing' : dcm.PixelSpacing,\n        'bits_allocated' : dcm.BitsAllocated,\n        'bits_stored' : dcm.BitsStored,\n        'high_bit' : dcm.HighBit,\n        'pixel_representation': dcm.PixelRepresentation,\n        'window_center': dcm.WindowCenter,\n        'window_width': dcm.WindowWidth,\n        'rescale_intercept': dcm.RescaleIntercept,\n        'rescale_slope': dcm.RescaleSlope,\n        'pixel_data': dcm.PixelData,\n        'img_min': np.min(img),\n        'img_max': np.max(img),\n        'img_mean': np.mean(img),\n        'img_std': np.std(img)\n        }\n    return data","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"meta_data_df = extract_dicom_meta_data(train.path.iloc[0])\n\n# Convert to a pd.DataFrame from dict\nmeta_data_df = pd.DataFrame.from_dict(meta_data_df)\nmeta_data_df.shape","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Baseline Model"},{"metadata":{"trusted":true},"cell_type":"code","source":"feats = list(train.columns[3:5])+list(train.columns[8:12])+list(train.columns[13:17])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"means = train[feats].mean().to_dict()\nmeans","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"submission['label'] = 0.2799\nfor feat in means.keys():\n    submission.loc[submission.id.str.contains(feat, regex=False), 'label'] = means[feat]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"submission.to_csv('submission.csv', index = False)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}