5 open source projects by ai-med

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

✭ 192

python deep-learning pytorch segmentation convolutional-networks fully-convolutional-networks

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

✭ 74

python deep-learning machine-learning pytorch computer-vision ai convolutional-neural-networks segmentation medical-imaging bayesian

3. Relaynet pytorch

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

✭ 63

jupyter-notebook deep-learning segmentation

4. ReLayNet

Retinal Layers and Fluid Segmentation in Macular OCT scans (code + Pre-trained Model)

✭ 26

matlab Cuda

5. QuickNATv2

Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)

✭ 57

matlab Cuda deep-learning neuroscience neuroanatomy-toolbox brain-segmentation

1-5 of 5 user projects