Domain Adaptation for Medical Image Analysis: A Survey

Understand

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.

• 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.