LightersWang / Awesome-Active-Learning-for-Medical-Image-Analysis
[MedIA] Paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"
☆100Updated 6 months ago
Alternatives and similar repositories for Awesome-Active-Learning-for-Medical-Image-Analysis
Users that are interested in Awesome-Active-Learning-for-Medical-Image-Analysis are comparing it to the libraries listed below
Sorting:
- Awesome Active Domain Adaptation for Medical Image Analysis☆99Updated 5 months ago
- ☆81Updated 4 months ago
- CVPR 2024 (Highlight)☆134Updated 6 months ago
- [IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)☆99Updated 2 years ago
- Domain Adaptation and Generalization for Medical Image Analysis☆131Updated last year
- A Pytorch implement of medical image segmentation U-shape architecture benchmarks☆103Updated 10 months ago
- [CVPR 2024] VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis☆183Updated 5 months ago
- MICCAI 2023 Paper (Early Acceptance)☆184Updated last year
- NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation☆103Updated 11 months ago
- [CVPR‘22] Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization☆107Updated 9 months ago
- PyTorch implementation for MA-SAM☆154Updated 7 months ago
- Official implementation of MedCLIP-SAM (MICCAI 2024)☆94Updated 6 months ago
- ☆68Updated 11 months ago
- ☆54Updated last year
- The official repository to build SAT-DS, a medical data collection of over 72 public segmentation datasets, contains over 22K 3D images, …☆99Updated 2 weeks ago
- Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"☆137Updated last year
- MICCAI 2024: nnUNet incorporating additional baselines as SAMed️, Mamba Variants, and MedNeXT to establish a benchmark for segmentation c…☆84Updated 3 weeks ago
- [CVPR 2024] Code for "Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation"☆72Updated 7 months ago
- [MICCAI 2023] Continual Learning for Abdominal Multi-Organ and Tumor Segmentation☆69Updated 9 months ago
- ICCV 2023, "GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation"☆47Updated 10 months ago
- The official implementation of "Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification"☆76Updated last year
- [AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in …☆73Updated 6 months ago
- [CVPR2024] MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding an…☆47Updated 3 months ago
- [ECCV2022&TPAMI] Official pytorch implementation of UniMiSS & UniMiSS+☆67Updated 5 months ago
- Pytorch code of MICCAI 2023 Paper-Ariadne’s Thread : Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images☆47Updated last year
- A collection of papers published in MICCAI 2024 with their code.☆56Updated 7 months ago
- ☆22Updated 6 months ago
- AbdomenAtlas 3.0 (9,262 CT volumes + medical reports). These “superhuman” reports are more accurate, detailed, standardized, and generate…☆69Updated 2 weeks ago
- the official repository for CVPR 2024 paper "One-Prompt to Segment All Medical Images"☆123Updated 11 months ago
- Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysi…☆101Updated last year