qureai / Multi-Atlas-SegmentationLinks
Multi Atlas Segmentation of brain anatomy using ANTs
☆31Updated 8 years ago
Alternatives and similar repositories for Multi-Atlas-Segmentation
Users that are interested in Multi-Atlas-Segmentation are comparing it to the libraries listed below
Sorting:
- This repository aims at containing all the code employed at LIVIA to segment medical images. Mainly, our research focuses on bringind the…☆56Updated 7 years ago
- Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation…☆55Updated 7 years ago
- ☆20Updated 3 years ago
- Segmentation of prostate from MRI scans☆44Updated 4 years ago
- code of DenseVoxNet and 3D-DSN☆89Updated 8 years ago
- Cardiac Image Multi-Atlas Segmentation pipeline (CIMAS)☆50Updated 8 years ago
- The implementation of 3D_DenseSeg for infant brain MRI segmentation☆47Updated 5 years ago
- MS lesion segmentation using cascaded 3D convolutional neural networks☆42Updated 7 years ago
- MIDL 2018 / MEDIA 2019: one binary extremely large and inflecting sparse kernel (pytorch)☆44Updated 5 years ago
- Implementation of the nic_vicorob team for addressing the MICCAI Grand Challenge on 6-month infant brain MRI segmentation iSeg2017☆36Updated 7 years ago
- Using DCGAN for segmenting brain tumors from brain image scans☆59Updated 7 years ago
- A Deep Learning method to segment punctate white matter lesions (PWMLs); Brain tumor segmentation;☆33Updated 5 years ago
- Implementation of VoxResNet for 3D brain segmentation☆66Updated 7 years ago
- ☆32Updated 7 years ago
- The Pytorch implementation of the 3D Anisotropic Hybrid Network described in the paper "3D Anisotropic Hybrid Network: Transferring Convo…☆53Updated 6 years ago
- This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convoluti…☆164Updated 5 years ago
- Here I post a code for doing segmentation in medical images using tensorflow☆20Updated 8 years ago
- ☆102Updated 6 years ago
- UNet deep learning model for medical image segmentation☆48Updated last year
- ☆46Updated 6 years ago
- ☆15Updated 7 years ago
- Lung fields segmentation on tomography images using convolutional neural networks.☆98Updated 8 years ago
- The following is a new architecture for robust segmentation. It may perform better than a U-Net :) for binary segmentation. I will update…☆25Updated 4 years ago
- Code for the MICCAI 2018 paper "Deep Attentional Features for Prostate Segmentation in Ultrasound"☆63Updated 7 years ago
- Using machine learning and image processing to classify lung cancer in CT scans☆35Updated 4 years ago
- Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)☆90Updated 7 years ago
- 3D Unet Equipped with Advanced Deep Learning Methods☆61Updated 5 years ago
- Efficient Segmentation for Volumetric Data☆44Updated 6 years ago
- Elastic Boundary Projection for 3D Medical Image Segmentation - CVPR 2019☆65Updated 6 years ago
- Code for reproducing the results of our paper on CNN-based medical image segmentation☆87Updated 7 years ago