Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects.

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Bibliographic Details
Title: Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects.
Authors: Kumari P; Faculty of Informatics and Data Science, University of Regensburg, Regensburg 93053, Germany., Chauhan J; University of California, Davis, CA 95616, USA; Motilal Nehru National Institute of Technology Allahabad, Prayagraj, 211004, India., Bozorgpour A; Faculty of Informatics and Data Science, University of Regensburg, Regensburg 93053, Germany., Huang B; Faculty of Informatics and Data Science, University of Regensburg, Regensburg 93053, Germany., Azad R; Faculty of Informatics and Data Science, University of Regensburg, Regensburg 93053, Germany; Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Aachen 52062, Germany., Merhof D; Faculty of Informatics and Data Science, University of Regensburg, Regensburg 93053, Germany; Fraunhofer Institute for Digital Medicine MEVIS, Bremen 28359, Germany. Electronic address: dorit.merhof@ur.de.
Source: Medical image analysis [Med Image Anal] 2025 Dec; Vol. 106, pp. 103730. Date of Electronic Publication: 2025 Jul 28.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1361-8423
DOI:10.1016/j.media.2025.103730