Fully Automated Segmentation of Human Eyeball Using Three-Dimensional U-Net in T2 Magnetic Resonance Imaging-Reference-Cited by-同舟云学术

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Fully Automated Segmentation of Human Eyeball Using Three-Dimensional U-Net in T2 Magnetic Resonance Imaging

Published:2023-11-17 Issue:11 Volume:12 Page:22
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Yang Jin-Ju¹²,Kim Kyeong Ho³,Hong Jinwoo⁴,Yeon Yeji¹²,Lee Ji Young⁵,Lee Won June¹²,Kim Yu Jeong¹²,Lee Jong-Min⁶,Lim Han Woong¹²

Affiliation:

1. Department of Ophthalmology, Hanyang University College of Medicine, Seoul, Korea

2. Hanyang Vision Research Center, Hanyang University, Seoul, Korea

3. Department of Artificial Intelligence, Hanyang University, Seoul, Korea

4. Department of Electronic Engineering, Hanyang University, Seoul, Korea

5. Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea

6. Department of Biomedical Engineering, Hanyang University, Seoul, Korea

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

Reference25 articles.

1. Eye globe abnormalities on MR and CT in adults: an anatomical approach;Hallinan;Korean J Radiol,2016

2. Variations in eye volume, surface area, and shape with refractive error in young children by magnetic resonance imaging analysis;Lim;Invest Ophthalmol Vis Sci,2011

3. Three-dimensional modeling of the human eye based on magnetic resonance imaging;Singh;Invest Ophthalmol Vis Sci,2006

4. Is eye size related to orbit size in human subjects?;Chau;Ophthal Physl Opt,2004

5. Morphological prediction of glaucoma by quantitative analyses of ocular shape and volume using 3-dimensional T2-weighted MR images;Tatewaki;Sci Rep,2019

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