Navigating prevalence shifts in image analysis algorithm deployment

Domain gaps are significant obstacles to the clinical implementation of machine learning (ML) solutions for medical image analysis. Although current research emphasizes new training methods and network architectures, the specific impact of prevalence shifts on algorithms in real-world applications i...

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Bibliographic Details
Published in:	Medical image analysis Vol. 102; p. 103504
Main Authors:	Godau, Patrick, Kalinowski, Piotr, Christodoulou, Evangelia, Reinke, Annika, Tizabi, Minu, Ferrer, Luciana, Jäger, Paul, Maier-Hein, Lena
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.05.2025
Subjects:	Algorithms Class imbalance Domain gap Generalization Humans Image Interpretation, Computer-Assisted - methods Image Processing, Computer-Assisted - methods Machine Learning Medical image classification Prevalence Prevalence shift Generalization Class imbalance Prevalence shift Medical image classification Domain gap
ISSN:	1361-8415, 1361-8423, 1361-8423
Online Access:	Get full text
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