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Building a deep learning model that automatically detects & locate potential pneumonia lung opacities on chest radiographs (CXR).

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Replacing-YoloV3-Backbone-with-ChexNet-for-Pneumonia-Detection

Building a deep learning model that automatically detects & locate potential pneumonia lung opacities on chest radiographs (CXR).

A detailed blog on this case study is available at

https://medium.com/@junaidnasirkhan/replacing-yolov3-backbone-with-chexnet-for-pneumonia-detection-a29434a698b7?source=friends_link&sk=55ed56b39547f6fb8b8b8e9a363e98a8

Models & weights are available at :-

1. ChexNet Weights--> https://drive.google.com/file/d/1Bd50DpRWorGMDuEZ3-VHgndpJZwUGTAr/view?usp=sharing

2. ChexNet Model (with weights)--> https://drive.google.com/file/d/1besG2pWueB2I8MgBb9nUd8cSjhVyGFW5/view?usp=sharing

3. YoloV3_ChexNet Weights--> https://drive.google.com/file/d/1Suv_KBqvv4bj7xndTSgdicuLP26T6u8c/view?usp=sharing

4. YoloV3_ChexNet Model (with Weights)--> https://drive.google.com/file/d/1Db65Ic19mP-r5drFEFb87fnvEHBuZFS3/view?usp=sharing

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Building a deep learning model that automatically detects & locate potential pneumonia lung opacities on chest radiographs (CXR).

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