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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Principais autores:	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
Formato:	Artigo
Idioma:	Inglês
Publicado:	Elsevier 2025-11-01
Series:	Ophthalmology Science
Assuntos:	Glaucoma Visual field Perimetry Screening Deep learning
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S2666914525001034
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