Multi-Comparison of Different Ocular Imaging Modality-based Deep Learning Models for Visually Significant Cataract Detection

Multi-Comparison of Different Ocular Imaging Modality-based Deep Learning Models for Visually Significant Cataract Detection

Purpose: Age-related cataract is the leading cause of vision impairment. Researchers have utilized various imaging modalities, including slit beam, diffuse anterior segment, and retinal imaging, to develop deep learning (DL) algorithms for automated cataract analysis. However, the comparative perfor...

Full description

Saved in:
Bibliographic Details
Main Authors: Jocelyn Hui Lin Goh, BEng, Xiaofeng Lei, MSc, Miao-Li Chee, MPH, Yiming Qian, PhD, Marco Yu, PhD, Tyler Hyungtaek Rim, MD, PhD, Simon Nusinovici, PhD, David Ziyou Chen, MBBS, FRCOphth, Kai Hui Koh, BSc, Samantha Min Er Yew, BSc, Yibing Chen, BEng, Victor Teck Chang Koh, MBBS, MMed, Charumathi Sabanayagam, MD, PhD, Tien Yin Wong, MD, PhD, Xinxing Xu, PhD, Rick Siow Mong Goh, PhD, Yong Liu, PhD, Ching-Yu Cheng, MD, PhD, Yih-Chung Tham, PhD
Format: Article
Language:English
Published: Elsevier 2025-11-01
Series:Ophthalmology Science
Subjects:
Artificial intelligence
Deep learning
Cataract detection
Retinal imaging
Ocular imaging
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914525001356
Tags: Add Tag
No Tags, Be the first to tag this record!
Login for hold and recall information

Internet

http://www.sciencedirect.com/science/article/pii/S2666914525001356

Similar Items