Captain-Hong / UDA-via-joint-adversarial-learning-and-self-learningLinks
Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning
☆14Updated 2 years ago
Alternatives and similar repositories for UDA-via-joint-adversarial-learning-and-self-learning
Users that are interested in UDA-via-joint-adversarial-learning-and-self-learning are comparing it to the libraries listed below
Sorting:
- The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmen…☆40Updated 2 years ago
- [JBHI2022] A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation☆48Updated last year
- This repository is an unoffical PyTorch implementation of Semi-Supervised Learning on Medical Segmentation in 2D and 3D.☆46Updated 3 years ago
- ☆29Updated 3 years ago
- ☆55Updated 3 years ago
- [IEEE-TMI2020] Inter-slice Context Residual Learning for 3D Medical Image Segmentation☆53Updated 4 years ago
- [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation☆40Updated 3 months ago
- This repository contains the implementation for our work "Learning Topological Interactions for Multi-Class Medical Image Segmentation", …☆81Updated last year
- 🏆1st place in the MICCAI challenge CrossMoDA 2023☆18Updated 5 months ago
- [PRCV'21] The official code for "Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation"☆28Updated 3 years ago
- code for paper Positional Contrastive Learning for Volumetric Medical Image Segmentation☆59Updated 11 months ago
- 【MICCAI 2022】"TBraTS: Trusted Brain Tumor Segmentation"☆54Updated last year
- 3D vessel-like structure segmentation in pytorch☆31Updated 2 years ago
- [MICCAI2021] This is an official PyTorch implementation for "Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segment…☆51Updated 3 years ago
- This repository is an official PyTorch implementation of the paper "BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framewor…☆29Updated 3 years ago
- Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmen…☆29Updated 4 years ago
- [MICCAI21, TMI22] Mean-Teacher-Assisted Confident Learning☆77Updated last year
- ☆34Updated 4 years ago
- ☆44Updated 3 years ago
- [MICCAI 2021] Official Implementation for "MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Lab…☆32Updated 3 years ago
- ☆31Updated 2 years ago
- PyTorch implementation for our paper on TMI2022: Retinal Vessel Segmentation with Skeletal Prior and Contrastive Loss☆56Updated 6 months ago
- ☆16Updated 4 years ago
- Multi-attention Guided Multi-task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification☆41Updated 4 years ago
- CS-Net (MICCAI 2019) and CS2-Net (MedIA 2020)☆101Updated 2 weeks ago
- ☆35Updated 2 years ago
- Code for Pseudo label based contrastive learning joint training approach☆58Updated 3 years ago
- A simple UNet implementation for Semi-supervised 3D medical image segmentation using Mean-Teacher strategy☆15Updated 2 years ago
- This is a classification of lung nodules using pytorch, it is the final project of SJTU-EE228.☆10Updated 5 years ago
- Project page of the paper 'Self-Supervised Vessel Segmentation via Adversarial Learning'☆42Updated 3 years ago