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COVID-Net

Model for COVID detection in X-Rays Further a Flask based platform is finished for easy inference on images. Developed @BISAG

Dataset

Augemented + Segmented + Equalized : https://drive.google.com/drive/folders/1VP-g1lDvGn-WytEFYnvoBe1oqsMtkV2n?usp=sharing

Original Data : https://github.com/ieee8023/covid-chestxray-dataset

Pipeline

Input Image -> Augmentation -> Segmentation -> Mask Cropping -> VGG16 -> Diagnosis

CAM results

no-seg

CAM analysis on non-segmented images, model learns irrelevant features. Overfitting to other source semantics.

seg

CAM analysis on segmented images, model learns important features which are further verified by professional diagnosis of the same image.

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Model for COVID detection in X-Rays

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