Results 1 to 10 of about 4,614 (149)

Dual U-Net with multi-task attention for automated eyelid curvature quantification [PDF]

Frontiers in Medicine
ObjectiveEyelid curvature analysis serves as a key morphological indicator in the diagnosis of ophthalmic diseases and postoperative evaluation. This study aims to develop an automated and reproducible image processing method to accurately extract eyelid
Jimei Wu, Yang Yang, Cheng Wan, Cheng Wan, Meina Yang, Weihua Yang, Wei Chi   +6 more
doaj   +2 more sources

AI driven quantitative analysis of meibomian glands in children and adolescents: a benchmark dataset study [PDF]

Eye and Vision
Background Due to the lack of quality-controlled quantitative data on meibomian gland (MG) morphology in children and adolescents, this study aims to establish a Children and Adolescents Meibomian Gland (CAMG) dataset.
Li Li, Kunhong Xiao, Kunfeng Lai, Taichen Lai, Yujie Wang, Xianwen Shang, Ying Xue, Zongyuan Ge, Lingyi Liang, Mingguang He, Jiawen Lin, Zhuoting Zhu   +11 more
doaj   +2 more sources

Deep learning system for the auxiliary diagnosis of thyroid eye disease: evaluation of ocular inflammation, eyelid retraction, and eye movement disorder [PDF]

Frontiers in Cell and Developmental Biology
ObjectiveThis study aims to construct a semantic segmentation-based auxiliary diagnostic model for thyroid eye disease (TED) focusing on eyelid retraction, eye movement disorders, ocular inflammation related to Clinical Activity Score (CAS), facilitating
Yu Han, Jun Xie, Xiaoyu Li, Xinying Xu, Bin Sun, Han Liu, Chunfang Yan   +6 more
doaj   +2 more sources

A Deep Learning-Based Automated Scoring System for Predicting Eyelid Rejuvenation Outcomes After Monopolar Radiofrequency Treatment [PDF]

Clinical, Cosmetic and Investigational Dermatology
Dong Hye Suh,1 Sang Jun Lee,1 In Yong Kim,2 Byung Chul Jang,3 Hei Sung Kim4 1ArumdaunNara Dermatologic Clinic, Seoul, Korea; 2Switz Dermatologic Clinic, Seoul, Korea; 3School of Electronics and Electrical Engineering, Kyungpook National University, Daegu,
Suh DH, Lee SJ, Kim IY, Jang BC, Kim HS
doaj   +2 more sources

Enhancing ocular sign detection: AI-based strategic segmentation for improved accuracy and privacy protection [PDF]

npj Digital Medicine
Accurate detection of ocular signs is essential for early diagnosis of eye diseases, but current AI approaches using facial or external ocular images include non-essential information, compromising performance and patient privacy.
Chaoyu Lei, Chen Zhao, Jiayu Chen, Xuran Duan, Chudi Xu, Chee Chew Yip, Sunisa Sintuwong, Jianbin Ding, P. S. Pandiyan, Sunsern Wattanaphanich, Yujie Ren, Siqi Luo, Xuefei Song, Hong He, Xiaohong Liu, Huifang Zhou   +15 more
doaj   +2 more sources

Eyelid Localization for Iris Identification [PDF]

Radioengineering, 2008
This article presents a new eyelid localization algorithm based on a parabolic curve fitting. To deal with eyelashes, low contrast or false detection due to iris texture, we propose a two steps algorithm.
T. Ea, B. Mikovikova, F. Amiel, F. Rossant, M. Adam   +4 more
doaj   +2 more sources

Deep-Learning Model for Iris and Eyebrow Segmentation and Automation of Eye Landmark Measurements in Acquired Ptosis [PDF]

Biomedicines
Background: Acquired ptosis is a common eyelid disorder in elderly patients, causing visual disturbance and cosmetic concerns. Accurate evaluation of periocular anatomy, including eyebrow and iris position, is essential for surgical planning, but current
Dain Yoo, Hyun Jin Shin
doaj   +2 more sources

EFFICIENT IRIS SEGMENTATION BASED ON EYELID DETECTION [PDF]

Journal of Engineering Science and Technology, 2013
This paper proposes a computationally efficient eyelid detection algorithm for detecting eyelid boundaries in iris images acquired under less constrained imaging conditions.
ABDULJALIL RADMAN, NASHARUDDIN ZAINAL, MAHAMOD ISMAIL   +2 more
doaj   +1 more source

A computer vision-based framework for objective evaluation of sunken upper eyelid [PDF]

Scientific Reports
Sunken upper eyelid correction is clinically and aesthetically important in periorbital reconstruction. However, current evaluation methods for sunken upper eyelid are limited by the expensive and complex medical equipment or subjective judgment.
Longfei Weng, Yuchen Shen, Shiqi Xie, Meng Xun, Zhaohui Bu, Hui Chen, Guichuan Chen, Li Ding   +7 more
doaj   +2 more sources

A new digital biomarker of Demodex blepharitis: energy curve of the meibomian edge [PDF]

Frontiers in Cell and Developmental Biology
PurposeTo develop and validate a novel digital biomarker, the energy curve of the meibomian gland (MG) edge, to assess MG uneven atrophy and aid in diagnosing Demodex blepharitis.MethodsA retrospective study enrolled 76 dry eye patients (42 with Demodex ...
Minjia Wang, Xiaoyu Chen, Kesheng Wang, Kunhui Xu, Xinxin Yu, Qi Dai, Qi Dai, Min Ren   +7 more
doaj   +2 more sources