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https://github.com/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)
https://github.com/fitushar/WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-Feature
3d 3d-cnn ct-imaging deep-learning densevnet3d feature-aggregation lung-disease multi-label-classification multi-label-loss multi-resolution segmentation-features segmentation-models spie-cad spie-cad-2020 tensorflow2 tfrecords weakly-supervised-classification weakly-supervised-learning weight-binary-crossentrophy weighted-loss
Last synced: 3 months ago
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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)
- Host: GitHub
- URL: https://github.com/fitushar/WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-Feature
- Owner: fitushar
- Created: 2020-06-16T03:19:44.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-06-18T08:21:43.000Z (over 4 years ago)
- Last Synced: 2024-08-01T03:44:43.834Z (6 months ago)
- Topics: 3d, 3d-cnn, ct-imaging, deep-learning, densevnet3d, feature-aggregation, lung-disease, multi-label-classification, multi-label-loss, multi-resolution, segmentation-features, segmentation-models, spie-cad, spie-cad-2020, tensorflow2, tfrecords, weakly-supervised-classification, weakly-supervised-learning, weight-binary-crossentrophy, weighted-loss
- Language: Python
- Size: 8.68 MB
- Stars: 21
- Watchers: 2
- Forks: 4
- Open Issues: 0
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Metadata Files:
- Readme: README.md