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

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 performance of...

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Vydané v:	Ophthalmology science (Online) Ročník 5; číslo 6; s. 100837
Hlavní autori:	Goh, Jocelyn Hui Lin, Lei, Xiaofeng, Chee, Miao-Li, Qian, Yiming, Yu, Marco, Rim, Tyler Hyungtaek, Nusinovici, Simon, Chen, David Ziyou, Koh, Kai Hui, Yew, Samantha Min Er, Chen, Yibing, Koh, Victor Teck Chang, Sabanayagam, Charumathi, Wong, Tien Yin, Xu, Xinxing, Goh, Rick Siow Mong, Liu, Yong, Cheng, Ching-Yu, Tham, Yih-Chung
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier Inc 01.11.2025 Elsevier
Predmet:	Artificial intelligence Cataract detection Deep learning Ocular imaging Ophthalmology Original Retinal imaging PSC Ocular imaging CI VSC DL Cataract detection DR SINDI AUC Deep learning SIMES SCES Artificial intelligence Retinal imaging Singapore Indian Eye Study visually significant cataract diabetic retinopathy Singapore Malay Eye Study posterior subcapsular area under receiver operating characteristic curve confidence interval Singapore Chinese Eye Study
ISSN:	2666-9145, 2666-9145
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