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

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).

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python Jupyter Notebook deep-learning convolutional-neural-networks multi-resolution weakly-supervised-learning resnet50 3d-classification tensorflow-estimator ct-imaging segmentation-features densevnet lung-disease feature-aggregation

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