Frequency‐aware domain randomization for single‐source domain generalization in medical image segmentation

The proposed RandDG method effectively addresses the critical challenges of texture bias and limited style diversity in single-source DG for medical image segmentation through frequency-aware dual-space randomization framework. This method shows promise for practical deployment in clinical settings, where target domain data may not always be available.

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Publication Details

Journal
Medical Physics
Published
2025-11-29
DOI
https://doi.org/10.1002/mp.70118
Primary Topic
Domain Adaptation and Few-Shot Learning
Type
article
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article

Frequency‐aware domain randomization for single‐source domain generalization in medical image segmentation

Jingmin Xin, Ziteng Cui, Shaoyi Du, Jiayi Wu et al.
Medical Physics
Domain Adaptation and Few-Shot Learning
article

Frequency‐aware domain randomization for single‐source domain generalization in medical image segmentation

Jingmin Xin, Ziteng Cui, Shaoyi Du, Jiayi Wu, Zikai Chen, Yiyi Chen, Xiaofeng Yang
article en

Abstract

The proposed RandDG method effectively addresses the critical challenges of texture bias and limited style diversity in single-source DG for medical image segmentation through frequency-aware dual-space randomization framework. This method shows promise for practical deployment in clinical settings, where target domain data may not always be available.

Medical PhysicsVol. 52(12)
Emory University (US), China Aerospace Science and Technology Corporation (CN), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 80%
Domain Adaptation and Few-Shot Learning
DOISourceOpenAlex
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Frequency‐aware domain randomization for single‐source domain generalization in medical image segmentation — Jingmin Xin, Ziteng Cui, et al. · Medical Physics (2025) | TGRS Research Map | TGRS