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1. ai-med/squeeze_and_excitation ai-med/squeeze_and_excitation Public

   PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

   Python 315 52

2. ai-med/relaynet_pytorch ai-med/relaynet_pytorch Public

   Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)

   Jupyter Notebook 88 30

3. ai-med/quickNAT_pytorch ai-med/quickNAT_pytorch Public

   PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

   Python 101 37

4. ai-med/nn-common-modules ai-med/nn-common-modules Public

   Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models

   Python 32 15

5. BayesianQuickNAT BayesianQuickNAT Public

   Trained Models and Deployment code for segmentation and Quality Control of whole-brain segmentation of MRI T1 scans

   MATLAB 9 4

6. few-shot-segmentation few-shot-segmentation Public

   PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans

   Python 105 15