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PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)
PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models
Trained Models and Deployment code for segmentation and Quality Control of whole-brain segmentation of MRI T1 scans
PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans
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