Deep Segmentation Features For Weakly Supervised 3D Disease Classification In Chest CT Resources Save

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).