spie-cad

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fitushar / WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-Feature
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)
ct-imaging deep-learning 3d 3d-cnn segmentation-models segmentation-features tensorflow2 weakly-supervised-learning weakly-supervised-classification densevnet3d lung-disease feature-aggregation multi-resolution tfrecords multi-label-classification multi-label-loss weighted-loss weight-binary-crossentrophy spie-cad spie-cad-2020
Language:Python 21
fitushar / Classification-of-chest-CT-using-caselevel-weak-supervision
Classification of chest CT using caselevel weak supervision
2d classi keras keras-model lung-cancer-classification spie-cad lung-cancer weakly-supervised-learning weakly-supervised classification-model resnet-50 slice dicom-images png
Language:Python 1