Deep Learning–Based Precision Cropping of Eye Regions in Strabismus Photographs: Algorithm Development and Validation Study for Workflow Optimization

Traditional ocular gaze photograph preprocessing, relying on manual cropping and head tilt correction, is time-consuming and inconsistent, limiting artificial intelligence (AI) model development and clinical application. This study aimed to address these challenges using an advanced preprocessing al...

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Bibliographic Details
Published in:	Journal of medical Internet research Vol. 27; no. 10; p. e74402
Main Authors:	Wu, Dawen, Li, Yanfei, Yang, Zeyi, Yin, Teng, Chen, Xiaohang, Liu, Jingyu, Shang, Wenyi, Xie, Bin, Yang, Guoyuan, Zhang, Haixian, Liu, Longqian
Format:	Journal Article
Language:	English
Published:	Canada Journal of Medical Internet Research 17.07.2025 JMIR Publications
Subjects:	Adult Algorithms Artificial Intelligence Assistive Technology for Vision Loss/Impairment Care and treatment Cross-Sectional Studies Deep Learning Diagnosis Eye - diagnostic imaging Female Health aspects Humans Image Processing, Computer-Assisted - methods Machine Learning Male Medical screening Methods Middle Aged Ophthalmology Original Paper Photography Prospective Studies Retrospective Studies Strabismus Strabismus - diagnostic imaging Tools, Programs and Algorithms Workflow Canada AI management system image preprocessing ocular alignment artificial intelligence clinical workflow
ISSN:	1438-8871, 1439-4456, 1438-8871
Online Access:	Get full text
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