Unbiased corneal tissue analysis using Gabor-domain optical coherence microscopy and machine learning for automatic segmentation of corneal endothelial cells
Author:
Affiliation:
1. LighTopTech Corp., West Henrietta, New York
2. The Eye Care Center, Canandaigua, New York
Funder
National Institutes of Health
National Science Foundation
Publisher
SPIE-Intl Soc Optical Eng
Subject
Biomedical Engineering,Atomic and Molecular Physics, and Optics,Biomaterials,Electronic, Optical and Magnetic Materials
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Potential applications of artificial intelligence in image analysis in cornea diseases: a review;Eye and Vision;2024-03-07
2. Segmentation methods and morphometry of confocal microscopy imaged corneal epithelial cells;Contact Lens and Anterior Eye;2022-12
3. Binary dose level classification of tumour microvascular response to radiotherapy using artificial intelligence analysis of optical coherence tomography images;Scientific Reports;2022-08-17
4. Anterior segment optical coherence tomography (AS-OCT) image analysis methods and applications: A systematic review;Computers in Biology and Medicine;2022-07
5. Applications of Gabor-domain optical coherence microscopy;Advances in 3OM: Opto-Mechatronics, Opto-Mechanics, and Optical Metrology;2022-05-06
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