mlsanityData to 7 Oct 2026

A Survey on Domain Generalization for Medical Image Analysis

arXiv 2402.05035 ↗First posted 7 Feb 2024cs.CVcited by 9

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Abstract (arXiv)

Medical Image Analysis (MedIA) has emerged as a crucial tool in computer-aided diagnosis systems, particularly with the advancement of deep learning (DL) in recent years. However, well-trained deep models often experience significant performance degradation when deployed in different medical sites, modalities, and sequences, known as a domain shift issue. In light of this, Domain Generalization (DG) for MedIA aims to address the domain shift challenge by generalizing effectively and performing robustly across unknown data distributions. This paper presents the a comprehensive review of substantial developments in this area. First, we provide a formal definition of domain shift and domain generalization in medical field, and discuss several related settings. Subsequently, we summarize the recent methods from three viewpoints: data manipulation level, feature representation level, and model training level, and present some algorithms in detail for each viewpoints. Furthermore, we introduce the commonly used datasets. Finally, we summarize existing literature and present some potential research topics for the future. For this survey, we also created a GitHub project by collecting the supporting resources, at the link: https://github.com/Ziwei-Niu/DG_for_MedIA

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 42 of its 58 references that are in the map. First posted on arXiv 7 Feb 2024.

Builds on

42 of 58 references.

References · 42

  1. 2015Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shiftcited by 6,979
  2. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
  3. 2016Layer Normalizationcited by 5,579
  4. 2015Domain-Adversarial Training of Neural Networkscited by 3,023
  5. 2016Instance Normalization: The Missing Ingredient for Fast Stylizationcited by 1,187
  6. 2019StarGAN v2: Diverse Image Synthesis for Multiple Domainscited by 1,095
  7. 2020In Search of Lost Domain Generalizationcited by 1,042
  8. 2021Generalizing to Unseen Domains: A Survey on Domain Generalizationcited by 762
  9. 2023Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentationcited by 485
  10. 2021Domain Adaptation for Medical Image Analysis: A Surveycited by 351
  11. 2020CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentationcited by 307
  12. 2021FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Spacecited by 284
30 more
  1. 2020Domain Generalization using Causal Matchingcited by 224
  2. 2022Unsupervised Medical Image Translation with Adversarial Diffusion Modelscited by 191
  3. 2021Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalizationcited by 141
  4. 2020Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotationcited by 128
  5. 2020Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domainscited by 124
  6. 2020Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularizationcited by 122
  7. 2020MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Datacited by 121
  8. 2019DIVA: Domain Invariant Variational Autoencoderscited by 114
  9. 2021Model-Based Domain Generalizationcited by 103
  10. 2021Towards Principled Disentanglement for Domain Generalizationcited by 91
  11. 2023UniverSeg: Universal Medical Image Segmentationcited by 90
  12. 2020DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasetscited by 70
  13. 2021Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improvecited by 46
  14. 2021Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalizationcited by 45
  15. 2022Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentationcited by 44
  16. 2020Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challengecited by 41
  17. 2021Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentationcited by 36
  18. 2023TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentationcited by 28
  19. 2022MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentationcited by 27
  20. 2022Adversarial Consistency for Single Domain Generalization in Medical Image Segmentationcited by 22
  21. 2023Frequency-mixed Single-source Domain Generalization for Medical Image Segmentationcited by 20
  22. 2022Localized Adversarial Domain Generalizationcited by 19
  23. 2023MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalizationcited by 18
  24. 2020DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentationcited by 15
  25. 2022Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restorationcited by 15
  26. 2022Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathologycited by 13
  27. 2023Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentationcited by 8
  28. 2022SAN-Net: Learning Generalization to Unseen Sites for Stroke Lesion Segmentation with Self-Adaptive Normalizationcited by 7
  29. 2022Adversarially-regularized mixed effects deep learning (ARMED) models for improved interpretability, performance, and generalization on clustered datacited by 6
  30. 2023DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizabilitycited by 3

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 3; 2026: 3.

9 papers.

  1. 2025Show and Segment: Universal Medical Image Segmentation via In-Context Learningcited by 15
  2. 2024Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Datasetcited by 11
  3. 2024CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentationcited by 5
  4. 2024Domain penalisation for improved Out-of-Distribution Generalisationcited by 0
  5. 2025MMRINet: Efficient Mamba-Based Segmentation with Dual-Path Refinement for Low-Resource MRI Analysiscited by 0
  6. 2025Vision-Language Enhanced Foundation Model for Semi-Supervised Medical Image Segmentationcited by 0
  7. 2026Few-Shot Left Atrial Wall Segmentation in 3D LGE MRI via Meta-Learningcited by 0
  8. 2026CrossFlowDG: Bridging the Modality Gap with Cross-modal Flow Matching for Domain Generalizationcited by 0
  9. 2026SegBanana: Steering Unified Multimodal Models into Medical Segmenterscited by 0