Deep Learning-Based Analysis of Ocular Anterior Segment Diseases from Patient-Self-Captured Smartphone Images

Deep Learning-Based Analysis of Ocular Anterior Segment Diseases from Patient-Self-Captured Smartphone Images

The goal of this study is to evaluate the Eye Home Clinic app (ver 1.0), which uses deep learning models to assess the quality of self-captured anterior segment images and detect anterior segment diseases using only the patient’s smartphone. Images undergo quality assessment based on the ‘<i>D...

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Bibliographic Details
Main Authors: Byoungyoung Gu, Mark Christopher, Su-Ho Lim, Sally L. Baxter
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Informatics
Subjects:
deep learning
ocular anterior segment disease
AI in ophthalmology
smartphone telemedicine
image quality assessment
Online Access:https://www.mdpi.com/2227-9709/12/1/2
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