Medical hierarchical image classification via dual-geometry image-text learning.

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Bibliographic Details
Title: Medical hierarchical image classification via dual-geometry image-text learning.
Authors: Fan L; Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Australia; School of Computer Science and Engineering, UNSW Sydney, Australia. Electronic address: lei.fan1@unsw.edu.au., Sowmya A; School of Computer Science and Engineering, UNSW Sydney, Australia., Meijering E; School of Computer Science and Engineering, UNSW Sydney, Australia., Yu Z; Department of Data Science & AI, Monash University, Australia., Ge Z; Department of Data Science & AI, Monash University, Australia., Song Y; School of Computer Science and Engineering, UNSW Sydney, Australia.
Source: Medical image analysis [Med Image Anal] 2026 Jul; Vol. 112, pp. 104120. Date of Electronic Publication: 2026 Apr 30.
Publication Type: Journal Article
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
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