A Mixture-of-Experts Network for Infectious Keratitis Classification Using Multimodal Slit-Lamp Images: A Multicenter Study.

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Title: A Mixture-of-Experts Network for Infectious Keratitis Classification Using Multimodal Slit-Lamp Images: A Multicenter Study.
Authors: Li FF; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, People's Republic of China., Li GX; School of Artificial Intelligence, Beijing Normal University, Beijing, People's Republic of China., Yu XX; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, People's Republic of China., Chen XY; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, People's Republic of China., Jiang JW; School of Electronic Engineering, Xi'an University of Posts and Telecommunications, Xi'an, People's Republic of China., Zhang ZH; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, People's Republic of China., Fu YN; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, People's Republic of China., Wu SQ; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, People's Republic of China., Xu KH; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, People's Republic of China., Ye YF; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, People's Republic of China., Hong JX; Department of Ophthalmology and Visual Science, Eye and ENT Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China., Hu M; Ningbo Aier Guangming Eye Hospital, Ningbo, People's Republic of China., Dai Q; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, People's Republic of China.
Source: Translational vision science & technology [Transl Vis Sci Technol] 2026 Jun 01; Vol. 15 (6), pp. 31.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: Association for Research in Vision and Ophthalmology Country of Publication: United States NLM ID: 101595919 Publication Model: Print Cited Medium: Internet ISSN: 2164-2591 (Electronic) Linking ISSN: 21642591 NLM ISO Abbreviation: Transl Vis Sci Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2164-2591
DOI:10.1167/tvst.15.6.31