ShishuaiHu / ProSFDA
Code for Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation.
☆25Updated last year
Alternatives and similar repositories for ProSFDA:
Users that are interested in ProSFDA are comparing it to the libraries listed below
- [MIA' 22] Source free domain adaptation for medical image segmentation with fourier style mining☆45Updated last year
- [MICCAI'21] Source-Free domain adaptive fundus image segmentation with denoised pseudo-labeling☆57Updated 3 years ago
- Source-Free Domain Adaptation☆41Updated last year
- [AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in …☆73Updated 6 months ago
- AAAI2023 Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation☆25Updated last year
- Code for [IEEE-TMI] Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.☆35Updated 2 years ago
- ☆27Updated last year
- This repository contains code for the paper "Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Imag…☆30Updated 2 years ago
- This is the official code of MICCAI23 paper "Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature …☆32Updated last year
- Code base for "On-the-Fly Test-time Adaptation for Medical Image Segmentation"☆31Updated 3 years ago
- [ECCV'22] Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration☆39Updated 8 months ago
- This repo is the official implementation of TMI2024 paper "Prompt-driven Latent Domain Generalization for Medical Image Classification".☆20Updated 5 months ago
- Code for [MICCAI 2023 (Early Accept)] Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation.☆30Updated last year
- MICCAI 2023: Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation☆16Updated 8 months ago
- Code for [MICCAI 2022] Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Ima…☆27Updated 2 years ago
- [MICCAI'22] Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels☆16Updated 2 years ago
- Code for [CVPR 2024] Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation.☆54Updated 4 months ago
- Domain generalization benchmark for skin lesion recognition, MICCAI 2023☆18Updated last year
- ☆25Updated last year
- Dual Contrastive Learning for Few-shot Medical Image Segmentation☆26Updated 2 years ago
- code for our ODADA.☆19Updated 7 months ago
- official implementation of the proposed decoupled feature query (DFQ)☆12Updated 10 months ago
- "Domain Adaptive Semantic Segmentation without Source Data" (ACM MM 2021)☆24Updated 2 years ago
- [ICASSP 2023] Prototype Knowledge Distillation for Medical Segmentation with Missing Modality☆48Updated 2 months ago
- Pytorch implementation of MICCAI'23 pape: Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher.☆22Updated last year
- Decoupled Consistency for Semi-supervised Medical Image Segmentation(MICCAI 2023)☆23Updated last year
- Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"☆46Updated 4 years ago
- ☆17Updated 3 years ago
- Code for [MICCAI 2023] Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Seg…☆35Updated 2 months ago
- [IEEE TMI'22] DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images☆18Updated 2 years ago