Detection of pediatric cataracts through non-invasive facial photography using deep convolutional neural networks for early diagnosis.

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Bibliographic Details
Title: Detection of pediatric cataracts through non-invasive facial photography using deep convolutional neural networks for early diagnosis.
Authors: Hayashi S; Division of Ophthalmology, National Center for Child Health and Development, 2-10-1 Okura, Setagaya, Tokyo, 157-8535, Japan. zhion.hayashi@gmail.com.; Department of Ophthalmology, Faculty of Medicine, Yamagata University, 2‑2‑2 Iidanishi, Yamagata, Yamagata, 990‑9585, Japan. zhion.hayashi@gmail.com., Kashizuka E; Division of Ophthalmology, National Center for Child Health and Development, 2-10-1 Okura, Setagaya, Tokyo, 157-8535, Japan., Sakata K; Division of Ophthalmology, National Center for Child Health and Development, 2-10-1 Okura, Setagaya, Tokyo, 157-8535, Japan., Motomiya N; Division of Ophthalmology, National Center for Child Health and Development, 2-10-1 Okura, Setagaya, Tokyo, 157-8535, Japan., Asakawa Y; Division of Ophthalmology, National Center for Child Health and Development, 2-10-1 Okura, Setagaya, Tokyo, 157-8535, Japan., Hayasaki M; Division of Ophthalmology, National Center for Child Health and Development, 2-10-1 Okura, Setagaya, Tokyo, 157-8535, Japan., Yokoi T; Division of Ophthalmology, National Center for Child Health and Development, 2-10-1 Okura, Setagaya, Tokyo, 157-8535, Japan., Yoshida T; Division of Ophthalmology, National Center for Child Health and Development, 2-10-1 Okura, Setagaya, Tokyo, 157-8535, Japan., Nishina S; Division of Ophthalmology, National Center for Child Health and Development, 2-10-1 Okura, Setagaya, Tokyo, 157-8535, Japan., Okamura K; Department of Systems Developmental Biology, National Research Institute for Child Health and Development, 2-10-1 Okura, Setagaya, Tokyo, 157-8535, Japan.
Source: BMC ophthalmology [BMC Ophthalmol] 2026 Apr 10; Vol. 26 (1). Date of Electronic Publication: 2026 Apr 10.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100967802 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2415 (Electronic) Linking ISSN: 14712415 NLM ISO Abbreviation: BMC Ophthalmol Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:1471-2415
DOI:10.1186/s12886-026-04795-9