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CNN architectures Resnet-50 and InceptionV3 have been used to detect whether the CT scan images is covid affected or not and prediction is validated using explainable AI frameworks LIME and GradCAM.

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AkashVS01/Covid-detection-using-XAI

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Covid-detection--XAI

CT scan images were collected from various sources to train two deep learning models using CNN frameworks ResNet-50 and InceptionV3. The performance and prediction of two models were validated and tested using Explainable AI frameworks LIME and GradCAM.

Dataset and trained-model

Both dataset and trained model can be downloaded from the link mentioned below:

https://drive.google.com/drive/folders/1I_mxP9SJ0BOsQLjNTWeYwNGe9C9dPZKH?usp=sharing

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CNN architectures Resnet-50 and InceptionV3 have been used to detect whether the CT scan images is covid affected or not and prediction is validated using explainable AI frameworks LIME and GradCAM.

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