Bioimage informatics approach to automated meibomian gland analysis in infrared images of meibography-Reference-Cited by-同舟云学术

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Bioimage informatics approach to automated meibomian gland analysis in infrared images of meibography

Published:2013-10 Issue:4 Volume:6 Page:194-204
ISSN:1888-4296
Container-title:Journal of Optometry
language:en
Short-container-title:Journal of Optometry

Author:

Celik Turgay,Lee Hwee Kuan,Petznick Andrea,Tong Louis

Funder

Agency for Science, Technology, and Research (A*STAR) of Singapore

Biomedical Research Council/Translational Clinical Research Programme 2010

National Medical Research Council

Publisher

Elsevier BV

Subject

Optometry

Reference18 articles.

1. Screening for Meibomian gland disease: its relation to dry eye subtypes and symptoms in a tertiary referral clinic in Singapore;Tong;Invest Ophthalmol Vis Sci,2010

2. Screening dry eye with newly developed ocular surface thermographer;Kamao;Am J Ophthalmol,2011

3. Noncontact detection of dry eye using a custom designed infrared thermal image system;Su;J Biomed Opt,2011

4. Relation between upper and lower lids’ Meibomain gland morpohology tear film and dry eye;Pult;Opt Vis Sci,2012

5. Non-contact Meibography: keep it simple but effective;Pult;Contact Lens Anterior Eye,2012

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1. Advances in artificial intelligence for meibomian gland evaluation: A comprehensive review;Survey of Ophthalmology;2024-11

2. Red filter meibography by smartphones in patients with meibomian gland dysfunction: a validity and reliability study;BMJ Open Ophthalmology;2024-04

3. Semi-supervised meibomian gland segmentation via mutual consistency constraints and uncertainty rectification;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

4. A Deep Learning Approach for Meibomian Gland Appearance Evaluation;Ophthalmology Science;2023-12

5. Automatic segmentation and quantified analysis of meibomian glands from infrared images;Indian Journal of Ophthalmology;2023-04

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