A Joint Multitask Learning Model for Cross-sectional and Longitudinal Predictions of Visual Field Using OCT

A Joint Multitask Learning Model for Cross-sectional and Longitudinal Predictions of Visual Field Using OCT

Purpose: We constructed a multitask learning model (latent space linear regression and deep learning [LSLR-DL]) in which the 2 tasks of cross-sectional predictions (using OCT) of visual field (VF; central 10°) and longitudinal progression predictions of VF (30°) were performed jointly via sharing th...

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Bibliographic Details
Main Authors: Ryo Asaoka, MD, PhD, Linchuan Xu, PhD, Hiroshi Murata, MD, Taichi Kiwaki, PhD, Masato Matsuura, CO, PhD, Yuri Fujino, CO, Masaki Tanito, MD, PhD, Kazuhiko Mori, MD, PhD, Yoko Ikeda, MD, PhD, Takashi Kanamoto, MD, PhD, Kenji Inoue, MD, PhD, Jukichi Yamagami, MD, PhD, Kenji Yamanishi, PhD
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Ophthalmology Science
Subjects:
Glaucoma
OCT
Progression
Visual field
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914521000531

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http://www.sciencedirect.com/science/article/pii/S2666914521000531

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