Deep Learning-Based Cataract Detection and Grading from Slit-Lamp and Retro-Illumination Photographs

Deep Learning-Based Cataract Detection and Grading from Slit-Lamp and Retro-Illumination Photographs

Purpose: To develop and validate an automated deep learning (DL)-based artificial intelligence (AI) platform for diagnosing and grading cataracts using slit-lamp and retroillumination lens photographs based on the Lens Opacities Classification System (LOCS) III. Design: Cross-sectional study in whic...

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Bibliographic Details
Main Authors: Ki Young Son, MD, Jongwoo Ko, MSc, Eunseok Kim, BSc, Si Young Lee, BSc, Min-Ji Kim, MD, Jisang Han, MD, Eunhae Shin, MD, Tae-Young Chung, MD, PhD, Dong Hui Lim, MD, PhD
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Ophthalmology Science
Subjects:
Artificial intelligence
Cataract
Deep learning
Lens Opacities Classification System III
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914522000367

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http://www.sciencedirect.com/science/article/pii/S2666914522000367

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