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Deep Learning–Based Prediction of Glaucoma Severity and Progression Using Imo/TEMPO Screening Program

Purpose: To develop DeepISP, a deep learning model that predicts the comprehensive visual field (VF) information of the Humphrey visual field analyzer (HFA) based on rapid screening perimetry (Imo/TEMPO screening program [ISP]). Design: A retrospective, cross-sectional, and longitudinal cohort datab...

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Autors principals: Kei Sano, MD, PhD, Euido Nishijima, MD, PhD, Shunsuke Sumi, MD, PhD, Takahiko Noro, MD, PhD, Shumpei Ogawa, MD, PhD, Yuka Igari, MD, Aiko Iwase, MD, PhD, Tadashi Nakano, MD, PhD
Format: Artigo
Idioma:Inglês
Publicat: Elsevier 2025-11-01
Col·lecció:Ophthalmology Science
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Accés en línia:http://www.sciencedirect.com/science/article/pii/S2666914525001034
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