Domain Adaptation for Medical Image Analysis: A Survey

🤖 Plain-English Summary

Machine learning techniques used in computer-aided medical image analysis usually suffer from the domain shift problem caused by different distributions between source/reference data and target data. We also provide a brief summary of the benchmark medical image datasets that support current domain adaptation research.

🔑 Key Findings

• As a promising solution, domain adaptation has attracted considerable attention in recent years.
• The aim of this paper is to survey the recent advances of domain adaptation methods in medical image analysis.
• We first present the motivation of introducing domain adaptation techniques to tackle domain heterogeneity issues for medical image analysis.

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