Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans-Reference-Cited by-同舟云学术

Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans

Published:2019-10-21 Issue:11 Volume:10 Page:5832
ISSN:2156-7085
Container-title:Biomedical Optics Express
language:en
Short-container-title:Biomed. Opt. Express

Author:

Mao Zaixing,Miki Atsuya,Mei Song,Dong Ying,Maruyama Kazuichi,Kawasaki Ryo,Usui Shinichi,Matsushita Kenji,Nishida Kohji,Chan Kinpui

Funder

Council for Science, Technology and Innovation

Santen

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Biotechnology

Reference51 articles.

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2. The Pathophysiology and Treatment of Glaucoma

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4. Optic Nerve Damage in Human Glaucoma

5. Morphologic Changes in the Lamina Cribrosa Correlated with Neural Loss in Open-Angle Glaucoma

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