Achieved 96.7% classification accuracy using transfer learning approach with VGG16 pre-trained model. We utilized Gradient based Class Activation Maps (GradCAM) to provide transparency for the decision taken by CNN classifier.
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Achieved 96.7% classification accuracy using transfer learning approach with VGG16 pre-trained model. We utilized Gradient based Class Activation Maps (GradCAM) to provide transparency for the decision taken by CNN classifier.
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Engineer1999/Chest-X-ray-classification-with-GradCAM
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Achieved 96.7% classification accuracy using transfer learning approach with VGG16 pre-trained model. We utilized Gradient based Class Activation Maps (GradCAM) to provide transparency for the decision taken by CNN classifier.
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