There are 4 repositories under brain-segmentation topic.
Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks
This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.
Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net
Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)
AssemblyNet: 3D Whole Brain MRI segmentation pipeline
The project is used to do preprocessing on brain MR images by using Nipype.
3D Multi-modal (FLAIR and T1) Brain MRI Scan Segmentation using Generative Adversarial Learning
AICONSlab's ventricular segmentation technique using CNNs
Brain white matter hyperintensity segmentation, with T1 and FLAIR MRI images, using UNet.
This repository contrains source code and the report for the Brain Segmentation challenge. It was the final assignment for the Medical Image Segmentation and Analysis course at the University of Girona for the MAIA programme.
[MICCAI'23] "Learning Ontology-Based Hierarchical Structural Relationship for Whole Brain Segmentation".
This project shows a simple way to segment a brain MRI image
Radiological-anatomical distribution patterns of Jakob-Creutzfeldt disease in relation to functional cortical systems
unet brain segmentation with pytorch c++
Macaca Mulatta brain tissue segmentation project with prof. Martin Styner.