• psacnn: None
• 3D-F-CNN-BrainStruct: This repository contains materials employed in our work to segment subcortical brain structures by employing a 3D fully Convolutional Neural Network.
• 3D-brain-segmentation: This is a repository containing code to Paper "Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation" published at MDPI Applied sciences journal - https://www.mdpi.com/2076-3417/9/3/404 .
• brain_segmentation: Implementation of VoxResNet for 3D brain segmentation
• SimpleITK: SimpleITK: a simplified layer build on top of the Insight Toolkit (ITK), intended to facilitate its use in rapid prototyping, education and interpreted languages.
• ffn: Flood-Filling Networks for instance segmentation in 3d volumes.
• quickNAT_pytorch: PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
• 3DUnetCNN: Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
• deepmedic: Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans