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densevnet

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anindox8 / 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).

deep-learning convolutional-neural-networks multi-resolution weakly-supervised-learning resnet50 3d-classification tensorflow-estimator ct-imaging segmentation-features densevnet lung-disease feature-aggregation
  • Updated Oct 7, 2020
  • Python

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