AI RESEARCH
Navigating Distribution Shifts in Medical Image Analysis: A Survey
arXiv CS.LG
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ArXi:2411.05824v3 Announce Type: replace-cross Medical Image Analysis (MedIA) has become indispensable in modern healthcare, enhancing clinical diagnostics and personalized treatment. Despite the remarkable advancements ed by deep learning (DL) technologies, their practical deployment faces challenges posed by distribution shifts, where models trained on specific datasets underperform on others from varying hospitals, or patient populations.