densevnet

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anindox8 / 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).

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

fitushar / DenseVNet3D_Chest_Abdomen_Pelvis_Segmentation_tf2

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This Repo containes the implemnetation of DenseVent in tensorflow 2.0 for chest-abdomen-pelvis (CAP) Segmentation

3d-segmentation tfdata tensorflow2-models densevnet densevnet3d tensorflow2-3d-segmentation-model multi-class-dice multi-class-dice-tf2 multi-class-segmenation tfrecords-training

Updated Apr 24, 2020
Python

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