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: | , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2025-11-01
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| Col·lecció: | Ophthalmology Science |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2666914525001034 |
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