{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.11.11","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceId":39272,"databundleVersionId":4629629,"sourceType":"competition"},{"sourceId":4619805,"sourceType":"datasetVersion","datasetId":2688675}],"dockerImageVersionId":31011,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import cv2\nimport matplotlib.pyplot as plt\nimport os\nimport pandas as pd\nimport pydicom\nimport random\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nfrom multiprocessing import Pool,cpu_count\nimport PIL\nimport tqdm\nimport cv2","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-05-13T08:58:07.24363Z","iopub.execute_input":"2025-05-13T08:58:07.244128Z","iopub.status.idle":"2025-05-13T08:58:08.638923Z","shell.execute_reply.started":"2025-05-13T08:58:07.244105Z","shell.execute_reply":"2025-05-13T08:58:08.638295Z"}},"outputs":[],"execution_count":5},{"cell_type":"code","source":"from tf_keras.preprocessing.image import ImageDataGenerator\ntrain = pd.read_csv('/kaggle/input/rsna-breast-cancer-detection/train.csv')\ntest = pd.read_csv('/kaggle/input/rsna-breast-cancer-detection/test.csv')\ntest1 = pd.read_csv('/kaggle/input/rsna-breast-cancer-detection/test.csv')\nimg_data  = \"/kaggle/input/rsna-breast-cancer-detection\"","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"execution":{"iopub.status.busy":"2025-05-13T08:58:44.776987Z","iopub.execute_input":"2025-05-13T08:58:44.777466Z","iopub.status.idle":"2025-05-13T08:58:44.837491Z","shell.execute_reply.started":"2025-05-13T08:58:44.777436Z","shell.execute_reply":"2025-05-13T08:58:44.836944Z"}},"outputs":[],"execution_count":8},{"cell_type":"code","source":"train","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-05-13T08:58:50.313623Z","iopub.execute_input":"2025-05-13T08:58:50.313971Z","iopub.status.idle":"2025-05-13T08:58:50.351548Z","shell.execute_reply.started":"2025-05-13T08:58:50.313948Z","shell.execute_reply":"2025-05-13T08:58:50.350786Z"}},"outputs":[{"name":"stderr","text":"/usr/local/lib/python3.11/dist-packages/pandas/io/formats/format.py:1458: RuntimeWarning: invalid value encountered in greater\n  has_large_values = (abs_vals > 1e6).any()\n/usr/local/lib/python3.11/dist-packages/pandas/io/formats/format.py:1459: RuntimeWarning: invalid value encountered in less\n  has_small_values = ((abs_vals < 10 ** (-self.digits)) & (abs_vals > 0)).any()\n/usr/local/lib/python3.11/dist-packages/pandas/io/formats/format.py:1459: RuntimeWarning: invalid value encountered in greater\n  has_small_values = ((abs_vals < 10 ** (-self.digits)) & (abs_vals > 0)).any()\n","output_type":"stream"},{"execution_count":9,"output_type":"execute_result","data":{"text/plain":"       site_id  patient_id    image_id laterality view   age  cancer  biopsy  \\\n0            2       10006   462822612          L   CC  61.0       0       0   \n1            2       10006  1459541791          L  MLO  61.0       0       0   \n2            2       10006  1864590858          R  MLO  61.0       0       0   \n3            2       10006  1874946579          R   CC  61.0       0       0   \n4            2       10011   220375232          L   CC  55.0       0       0   \n...        ...         ...         ...        ...  ...   ...     ...     ...   \n54701        1        9973  1729524723          R  MLO  43.0       0       0   \n54702        1        9989    63473691          L  MLO  60.0       0       0   \n54703        1        9989  1078943060          L   CC  60.0       0       0   \n54704        1        9989   398038886          R  MLO  60.0       0       0   \n54705        1        9989   439796429          R   CC  60.0       0       0   \n\n       invasive  BIRADS  implant density  machine_id  difficult_negative_case  \n0             0     NaN        0     NaN          29                    False  \n1             0     NaN        0     NaN          29                    False  \n2             0     NaN        0     NaN          29                    False  \n3             0     NaN        0     NaN          29                    False  \n4             0     0.0        0     NaN          21                     True  \n...         ...     ...      ...     ...         ...                      ...  \n54701         0     1.0        0       C          49                    False  \n54702         0     NaN        0       C         216                    False  \n54703         0     NaN        0       C         216                    False  \n54704         0     0.0        0       C         216                     True  \n54705         0     0.0        0       C         216                     True  \n\n[54706 rows x 14 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>site_id</th>\n      <th>patient_id</th>\n      <th>image_id</th>\n      <th>laterality</th>\n      <th>view</th>\n      <th>age</th>\n      <th>cancer</th>\n      <th>biopsy</th>\n      <th>invasive</th>\n      <th>BIRADS</th>\n      <th>implant</th>\n      <th>density</th>\n      <th>machine_id</th>\n      <th>difficult_negative_case</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2</td>\n      <td>10006</td>\n      <td>462822612</td>\n      <td>L</td>\n      <td>CC</td>\n      <td>61.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>29</td>\n      <td>False</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>10006</td>\n      <td>1459541791</td>\n      <td>L</td>\n      <td>MLO</td>\n      <td>61.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>29</td>\n      <td>False</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>10006</td>\n      <td>1864590858</td>\n      <td>R</td>\n      <td>MLO</td>\n      <td>61.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>29</td>\n      <td>False</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2</td>\n      <td>10006</td>\n      <td>1874946579</td>\n      <td>R</td>\n      <td>CC</td>\n      <td>61.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>29</td>\n      <td>False</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2</td>\n      <td>10011</td>\n      <td>220375232</td>\n      <td>L</td>\n      <td>CC</td>\n      <td>55.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>21</td>\n      <td>True</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>54701</th>\n      <td>1</td>\n      <td>9973</td>\n      <td>1729524723</td>\n      <td>R</td>\n      <td>MLO</td>\n      <td>43.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>C</td>\n      <td>49</td>\n      <td>False</td>\n    </tr>\n    <tr>\n      <th>54702</th>\n      <td>1</td>\n      <td>9989</td>\n      <td>63473691</td>\n      <td>L</td>\n      <td>MLO</td>\n      <td>60.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>C</td>\n      <td>216</td>\n      <td>False</td>\n    </tr>\n    <tr>\n      <th>54703</th>\n      <td>1</td>\n      <td>9989</td>\n      <td>1078943060</td>\n      <td>L</td>\n      <td>CC</td>\n      <td>60.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>C</td>\n      <td>216</td>\n      <td>False</td>\n    </tr>\n    <tr>\n      <th>54704</th>\n      <td>1</td>\n      <td>9989</td>\n      <td>398038886</td>\n      <td>R</td>\n      <td>MLO</td>\n      <td>60.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>C</td>\n      <td>216</td>\n      <td>True</td>\n    </tr>\n    <tr>\n      <th>54705</th>\n      <td>1</td>\n      <td>9989</td>\n      <td>439796429</td>\n      <td>R</td>\n      <td>CC</td>\n      <td>60.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>C</td>\n      <td>216</td>\n      <td>True</td>\n    </tr>\n  </tbody>\n</table>\n<p>54706 rows × 14 columns</p>\n</div>"},"metadata":{}}],"execution_count":9},{"cell_type":"code","source":"test","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-05-13T08:58:57.553916Z","iopub.execute_input":"2025-05-13T08:58:57.554192Z","iopub.status.idle":"2025-05-13T08:58:57.563005Z","shell.execute_reply.started":"2025-05-13T08:58:57.554173Z","shell.execute_reply":"2025-05-13T08:58:57.562113Z"}},"outputs":[{"execution_count":10,"output_type":"execute_result","data":{"text/plain":"   site_id  patient_id    image_id laterality view  age  implant  machine_id  \\\n0        2       10008   736471439          L  MLO   81        0          21   \n1        2       10008  1591370361          L   CC   81        0          21   \n2        2       10008    68070693          R  MLO   81        0          21   \n3        2       10008   361203119          R   CC   81        0          21   \n\n  prediction_id  \n0       10008_L  \n1       10008_L  \n2       10008_R  \n3       10008_R  ","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>site_id</th>\n      <th>patient_id</th>\n      <th>image_id</th>\n      <th>laterality</th>\n      <th>view</th>\n      <th>age</th>\n      <th>implant</th>\n      <th>machine_id</th>\n      <th>prediction_id</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2</td>\n      <td>10008</td>\n      <td>736471439</td>\n      <td>L</td>\n      <td>MLO</td>\n      <td>81</td>\n      <td>0</td>\n      <td>21</td>\n      <td>10008_L</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>10008</td>\n      <td>1591370361</td>\n      <td>L</td>\n      <td>CC</td>\n      <td>81</td>\n      <td>0</td>\n      <td>21</td>\n      <td>10008_L</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>10008</td>\n      <td>68070693</td>\n      <td>R</td>\n      <td>MLO</td>\n      <td>81</td>\n      <td>0</td>\n      <td>21</td>\n      <td>10008_R</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2</td>\n      <td>10008</td>\n      <td>361203119</td>\n      <td>R</td>\n      <td>CC</td>\n      <td>81</td>\n      <td>0</td>\n      <td>21</td>\n      <td>10008_R</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}],"execution_count":10},{"cell_type":"code","source":"import glob\ntrain_images  = glob.glob(img_data+\"/train_images/*/*\")\n(train_images)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-05-13T08:59:07.419069Z","iopub.execute_input":"2025-05-13T08:59:07.419355Z","iopub.status.idle":"2025-05-13T09:01:44.223844Z","shell.execute_reply.started":"2025-05-13T08:59:07.419337Z","shell.execute_reply":"2025-05-13T09:01:44.222998Z"}},"outputs":[{"execution_count":11,"output_type":"execute_result","data":{"text/plain":"['/kaggle/input/rsna-breast-cancer-detection/train_images/10706/763186195.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/10706/937109986.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/10706/34700621.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/10706/1167990339.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/21867/1291014447.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/21867/831671840.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/21867/1481837831.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/21867/851000290.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/34867/1724313070.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/34867/1816992952.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/34867/1416551830.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/34867/1432659037.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/34867/2034334966.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/49211/769612472.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/49211/2050639124.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/49211/1791711622.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/49211/957550911.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/49211/743669243.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/49211/695493398.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/49211/629307470.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/49211/171194015.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/5550/1305154817.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/5550/194918742.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/5550/2073161193.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/5550/166627648.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/47903/1007453454.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/47903/837252814.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/47903/304866081.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/47903/92631687.dcm',\n '/kaggle/input/rsna-breast-cancer-detection/train_images/11840/550628390.dcm',\n 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