This paper is in the following e-collection/theme issue:

Artificial Intelligence (2129) Ophthalmology (67) Machine Learning (2076) Tools, Programs and Algorithms (376) Assistive Technology for Vision Loss/Impairment (24)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74402, first published .
Deep Learning–Based Precision Cropping of Eye Regions in Strabismus Photographs: Algorithm Development and Validation Study for Workflow Optimization

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

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

Authors of this article:

Dawen Wu1 Author Orcid Image ;   Yanfei Li2 Author Orcid Image ;   Zeyi Yang1 Author Orcid Image ;   Teng Yin2 Author Orcid Image ;   Xiaohang Chen1 Author Orcid Image ;   Jingyu Liu2 Author Orcid Image ;   Wenyi Shang2 Author Orcid Image ;   Bin Xie1 Author Orcid Image ;   Guoyuan Yang1 Author Orcid Image ;   Haixian Zhang2 Author Orcid Image ;   Longqian Liu1 Author Orcid Image
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Journals

  1. Shin H, Kim S, Park S, Kim M, Kang H. Artificial Intelligence for Diagnosing Cranial Nerve III, IV, and VI Palsies Using Nine-Directional Ocular Photographs. Applied Sciences 2025;15(20):11174 View