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
☆15Updated 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 3 years ago
- 3D vessel-like structure segmentation in pytorch☆31Updated 2 years ago
- [JBHI2022] A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation☆49Updated 2 years ago
- [MICCAI21, TMI22] Mean-Teacher-Assisted Confident Learning☆80Updated 2 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
- This repository is an unoffical PyTorch implementation of Semi-Supervised Learning on Medical Segmentation in 2D and 3D.☆49Updated 3 years ago
- [MICCAI2021] This is an official PyTorch implementation for "Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segment…☆51Updated 4 years ago
- code for paper Positional Contrastive Learning for Volumetric Medical Image Segmentation☆58Updated last year
- 【MICCAI 2022】"TBraTS: Trusted Brain Tumor Segmentation"☆58Updated 2 years ago
- Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmen…☆29Updated 4 years ago
- ☆56Updated 3 years ago
- ☆34Updated 4 years ago
- [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation☆40Updated 7 months ago
- This is a nnUNet for semi-supervised☆24Updated 3 years ago
- [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation☆37Updated 3 years ago
- This repository contains the implementation for our work "Learning Topological Interactions for Multi-Class Medical Image Segmentation", …☆83Updated last year
- This is a classification of lung nodules using pytorch, it is the final project of SJTU-EE228.☆11Updated 5 years ago
- Position-prior Clustering-based self-attention module for Knee Cartilage Segmentation☆12Updated 3 years ago
- ☆14Updated 2 years ago
- PyTorch implementation for our paper on TMI2022: Retinal Vessel Segmentation with Skeletal Prior and Contrastive Loss☆59Updated 10 months ago
- Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images☆23Updated 3 years ago
- [PRCV'21] The official code for "Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation"☆28Updated 3 years ago
- Project page of the paper 'Self-Supervised Vessel Segmentation via Adversarial Learning'☆43Updated 4 years ago
- Cl-SegNet☆19Updated 2 years ago
- List shared papers in our group☆64Updated last year
- [IEEE-TMI2020] Inter-slice Context Residual Learning for 3D Medical Image Segmentation☆54Updated 4 years ago
- [MICCAI2024] Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging …☆56Updated last year
- Multi-attention Guided Multi-task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification☆43Updated 4 years ago
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆28Updated 4 years ago
- ☆35Updated 3 years ago