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