Deep Learning-Based Cataract Detection and Grading from Slit-Lamp and Retro-Illumination Photographs: Model Development and Validation Study

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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Detalles Bibliográficos
Autores principales: Son, Ki Young, Ko, Jongwoo, Kim, Eunseok, Lee, Si Young, Kim, Min-Ji, Han, Jisang, Shin, Eunhae, Chung, Tae-Young, Lim, Dong Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9559082/
https://www.ncbi.nlm.nih.gov/pubmed/36249697
http://dx.doi.org/10.1016/j.xops.2022.100147

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9559082/
https://www.ncbi.nlm.nih.gov/pubmed/36249697
http://dx.doi.org/10.1016/j.xops.2022.100147

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