multi-label-disease-classification

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fitushar / multi-label-weakly-supervised-classification-of-body-ct
A rule-based algorithm enabled the automatic extraction of disease labels from tens of thousands of radiology reports. These weak labels were used to create deep learning models to classify multiple diseases for three different organ systems in body CT.
weakly-supervised-learning ct-scan-images rule-based-modeling 3d-segmentation 3d 3d-classification tensorflow2 3d-resnet ct liver-disease kidney kidney-disease-prediction kidney-disease liver-disease-prediction multi-label-image-classification multi-label-disease machine-learning multi-label-disease-classification
Language:Python 7