EED-Astig: A Multimodal Dataset for Pediatric Astigmatism Severity Prediction.

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Bibliographic Details
Title: EED-Astig: A Multimodal Dataset for Pediatric Astigmatism Severity Prediction.
Authors: Liu H; Department of Ophthalmology Center, Peking University First Hospital, Beijing, 100034, China., Li S; Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, 100094, China. shyli@csu.ac.cn.; University of Chinese Academy of Sciences, Beijing, 100049, China. shyli@csu.ac.cn., Lv Y; Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, 100094, China. lvyixuan@csu.ac.cn., Liu R; Department of Ophthalmology Center, Peking University First Hospital, Beijing, 100034, China., Hou X; Department of Ophthalmology Center, Peking University First Hospital, Beijing, 100034, China., Chen F; Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, 100094, China.; University of Chinese Academy of Sciences, Beijing, 100049, China., Liu Y; Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, 100094, China.; University of Chinese Academy of Sciences, Beijing, 100049, China., You J; Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, 100094, China.; University of Chinese Academy of Sciences, Beijing, 100049, China., Wang H; Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, 100094, China.; University of Chinese Academy of Sciences, Beijing, 100049, China., Liu S; Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, 100094, China.; University of Chinese Academy of Sciences, Beijing, 100049, China.
Source: Scientific data [Sci Data] 2026 May 01; Vol. 13 (1). Date of Electronic Publication: 2026 May 01.
Publication Type: Journal Article; Dataset
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2052-4463
DOI:10.1038/s41597-026-07330-z