Deep learning segmentation for optical coherence tomography measurements of the lower tear meniscus-Reference-Cited by-同舟云学术

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Deep learning segmentation for optical coherence tomography measurements of the lower tear meniscus

Published:2020-02-20 Issue:3 Volume:11 Page:1539
ISSN:2156-7085
Container-title:Biomedical Optics Express
language:en
Short-container-title:Biomed. Opt. Express

Author:

Stegmann Hannes^ORCID,Werkmeister René M.^ORCID,Pfister Martin^ORCID,Garhöfer Gerhard,Schmetterer Leopold,dos Santos Valentin Aranha

Funder

Christian Doppler Forschungsgesellschaft

Bundesministerium für Digitalisierung und Wirtschaftsstandort

Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung

Carl Zeiss

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Biotechnology

Reference28 articles.

1. Etiology, prevalence, and treatment of dry eye disease

2. Prevalence of Diagnosed Dry Eye Disease in the United States Among Adults Aged 18 Years and Older

3. TFOS DEWS II Diagnostic Methodology report

4. Tear meniscus measurement in the diagnosis of dry eye

5. Noninvasive Interference Tear Meniscometry in Dry Eye Patients With Sjögren Syndrome

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1. Next-Generation Tear Meniscus Height Detecting and Measuring Smartphone-Based Deep Learning Algorithm Leads in Dry Eye Management;Ophthalmology Science;2024-09

2. Artificial intelligence in corneal diseases: A narrative review;Contact Lens and Anterior Eye;2024-08

3. Potential applications of artificial intelligence in image analysis in cornea diseases: a review;Eye and Vision;2024-03-07

4. An Edge Detection-Based Deep Learning Approach for Tear Meniscus Height Measurement;2024

5. Dynamic tear meniscus parameters in complete blinking: insights into dry eye assessment;International Journal of Ophthalmology;2023-12-18

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