Effective encoder-decoder network for pupil light reflex segmentation in facial photographs of ptosis patients

Accurate segmentation of pupil light reflexes is essential for the reliable assessment of ptosis severity, a condition characterized by the drooping of the upper eyelid. This study introduces a novel encoder-decoder network specialized in reflex segmentation by focusing on addressing issues related...

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Bibliographic Details
Published in:	Scientific reports Vol. 14; no. 1; pp. 26220 - 14
Main Authors:	Lee, Sanghyuck, Song, Taekyung, Lee, Jeong Kyu, Lee, Jaesung
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 31.10.2024 Nature Publishing Group Nature Portfolio
Subjects:	692/699/3161 692/699/3161/3166 692/699/3161/3173 Adult Aged Blepharoptosis - physiopathology Clinical trials Convolution Design Eyelid Eyes & eyesight Face - diagnostic imaging Facial photograph Female Graves Ophthalmopathy - diagnostic imaging Graves Ophthalmopathy - physiopathology Humanities and Social Sciences Humans Image Processing, Computer-Assisted - methods Light Male Middle Aged multidisciplinary Neural networks Neural Networks, Computer Paralysis Photography - methods Ptosis Pupil light reflex Reflex, Pupillary - physiology Reflexes Review boards Science Science (multidisciplinary) Segmentation Statistical analysis Ptosis Pupil light reflex Segmentation Facial photograph
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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