CityU-AIM-Group / JCASLinks
[MICCAI'22] Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels
☆16Updated 2 years ago
Alternatives and similar repositories for JCAS
Users that are interested in JCAS are comparing it to the libraries listed below
Sorting:
- ☆26Updated last year
- MICCAI 2022: Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images☆34Updated 2 years ago
- ☆39Updated 3 years ago
- This repository contains a PyTorch implementation of the MICCAI 2021 paper "Superpixel-guided Iterative Learning from Noisy Labels for Me…☆44Updated 2 years ago
- ☆29Updated 2 years ago
- ☆12Updated 3 years ago
- [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation☆37Updated 2 years ago
- The official implementation of the paper: [ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical …☆16Updated 2 weeks ago
- ☆12Updated 2 years ago
- AAAI2023 Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation☆28Updated last year
- Official implementation for paper "Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos"☆27Updated last year
- MICCAI 2022: code for 'Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency'☆17Updated 2 years ago
- MICCAI 2021 : Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation (Pytorch implementation).☆25Updated 2 years ago
- S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation (MICCAI 2023)☆17Updated last year
- This repository contains code for the paper "Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Imag…☆32Updated 2 years ago
- [MICCAI'21] Source-Free domain adaptive fundus image segmentation with denoised pseudo-labeling☆59Updated 3 years ago
- Code for the paper "Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels".☆37Updated 2 years ago
- ☆44Updated last year
- Decoupled Consistency for Semi-supervised Medical Image Segmentation(MICCAI 2023)☆25Updated last year
- ☆25Updated 2 months ago
- ☆12Updated 10 months ago
- Dual Contrastive Learning for Few-shot Medical Image Segmentation☆26Updated 2 years ago
- [IJCAI' 22] Uncertainty-Guided Pixel Contrastive Learning for Semi-Supervised Medical Image Segmentation.☆25Updated 2 years ago
- ☆12Updated 6 months ago
- code for our ODADA.☆20Updated 8 months ago
- ☆17Updated 3 years ago
- ☆20Updated 3 years ago
- Python codes to implement Q-Net, a meta-learning method for few shot medical image segmentation☆51Updated last year
- The official repo for [MIDL'23 Oral] "Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation"☆31Updated 11 months ago
- [ECCV'22] Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration☆43Updated 10 months ago