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WOA7015-CHESTXRAY-CNN-RESNET50

DOWNLOAD THE DATA HERE https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia

KINDLY CHANGE THE FILE PATH BEFORE RUNNING THE CODE.

Graph plots for train & validation accuracy. Screenshot (96) Screenshot (97) Confusion Matrix. Screenshot (98) Saliency Map Classification. Screenshot (99) Occlusion Sensitivity Function. Screenshot (100) Screenshot (101) Copyright (c) 2026 KJ Zetty Yinan. All Rights Reserved.

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A CNN model developed to observe and predict lung related chronic diseases at an early stage. ResNet-50 architecture is used to classify x-ray images and Occlusion Sensitivity Function is used to visualise the image with its affected areas.

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machine-learning tensorflow cnn-keras cnn-model resnet-50 occlusion-sensitivity xray-images

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