Front. Med. Frontiers in Medicine Front. Med. 2296-858X Frontiers Media S.A. 10.3389/fmed.2026.1790647 Correction Correction: Deep learning based optic nerve sheath diameter characterization and structure quantification on transorbital ultrasound images Yang Miao 1 Liu Cong 2 Zou Pingyang 1 Wang Wu 3 * Department of Anesthesiology, Guizhou Provincial People's Hospital, Guiyang, China School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China Electrical Engineering College, Guizhou University, Guiyang, China Correspondence: Wu Wang, china.wangwu@163.com 06 02 2026 2026 13 1790647 18 01 2026 22 01 2026 Copyright © 2026 Yang, Liu, Zou and Wang. 2026 Yang, Liu, Zou and Wang https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. A Correction on Deep learning based optic nerve sheath diameter characterization and structure quantification on transorbital ultrasound images by Yang, M., Liu, C., Zou, P., and Wang, W. (2026). Front. Med 12:1705459. doi: 10.3389/fmed.2025.1705459 deep learning optic nerve sheath diameter characterization optic nerve segmentation artificial intelligence medical imaging section-at-acceptance Ophthalmology

The title of this article was erroneously given as: Deep Learning-based Optic Nerve Diameter Sheath Characterization and Structure Quantification on Transorbital Ultrasound Images. The correct title of the article is Deep Learning based Optic Nerve Sheath Diameter Characterization and Structure Quantification on Transorbital Ultrasound Images.

The original version of this article has been updated.

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Edited and reviewed by: Yanda Meng, University of Exeter, United Kingdom