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Predicting the Glaucomatous Central 10-Degree Visual Field From Optical Coherence Tomography Using Deep Learning and Tensor Regression

Linchuan Xu, Ryo Asaoka, Taichi Kiwaki, Hiroshi Murata, Yuri Fujino, Masato Matsuura, Yohei Hashimoto, Shotaro Asano, Atsuya Miki, Kazuhiko Mori, Yoko Ikeda, Takashi Kanamoto, Junkichi Yamagami, Kenji Inoue, Masaki Tanito, Kenji Yamanishi

2020American Journal of Ophthalmology31 citationsDOI

Topics & Concepts

Optical coherence tomographyVisual fieldGlaucomaRegressionDegree (music)OptometryArtificial intelligenceField (mathematics)Coherence (philosophical gambling strategy)OphthalmologyComputer scienceMedicineMathematicsPhysicsStatisticsAcousticsPure mathematicsRetinal Imaging and AnalysisGlaucoma and retinal disordersOptical Coherence Tomography Applications
Predicting the Glaucomatous Central 10-Degree Visual Field From Optical Coherence Tomography Using Deep Learning and Tensor Regression | Litcius