fitushar / multi-label-weakly-supervised-classification-of-body-ct Goto Github PK
View Code? Open in Web Editor NEWA 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.