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Deep-Segmentation-Features-for-Weakly-Supervised-3D-Disease-Classification-in-Chest-CT

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Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN architecture (DenseVNet, 3D Residual U-Net).

anindox8

3d-classification

convolutional-neural-networks

ct-imaging

deep-learning

WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-Feature

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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 Ima...