This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 1131408 (16 March 2020)
deep-learning multi-label-classification tfrecords 3d multi-resolution weakly-supervised-learning 3d-cnn segmentation-models tensorflow2 ct-imaging segmentation-features lung-disease feature-aggregation densevnet3d spie-cad weighted-loss weakly-supervised-classification multi-label-loss weight-binary-crossentrophy spie-cad-2020
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Updated
Jun 18, 2020 - Python