Detection of meibomian glands and classification of meibography images
Author:
Publisher
SPIE-Intl Soc Optical Eng
Subject
Biomedical Engineering,Atomic and Molecular Physics, and Optics,Biomaterials,Electronic, Optical and Magnetic Materials
Reference19 articles.
1. Screening for Meibomian Gland Disease: Its Relation to Dry Eye Subtypes and Symptoms in a Tertiary Referral Clinic in Singapore
2. Noncontact Infrared Meibography to Document Age-Related Changes of the Meibomian Glands in a Normal Population
3. Contact Lens Wear Is Associated with Decrease of Meibomian Glands
4. Proposed Diagnostic Criteria for Obstructive Meibomian Gland Dysfunction
5. Relation Between Upper and Lower Lids' Meibomian Gland Morphology, Tear Film, and Dry Eye
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1. Semi-supervised meibomian gland segmentation via mutual consistency constraints and uncertainty rectification;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05
2. A Deep Learning Approach for Meibomian Gland Appearance Evaluation;Ophthalmology Science;2023-12
3. Impacts of gender and age on meibomian gland in aged people using artificial intelligence;Frontiers in Cell and Developmental Biology;2023-06-15
4. Assessment of meibomian gland drop-out and visibility through a new quantitative method in scleral lens wearers: A one-year follow-up study;Contact Lens and Anterior Eye;2023-02
5. A Deep Learning Model for Evaluating Meibomian Glands Morphology from Meibography;Journal of Clinical Medicine;2023-01-29
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