Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps

Christopher Mark; Bowd Christopher; Belghith Akram; Goldbaum Michael H.; Weinreb Robert N.; Fazio Massimo A.; Girkin Christopher A.; Liebmann Jeffrey M.; Zangwill Linda M.

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Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps

机译：深度学习方法预测Oct视神经头的青光眼视野损伤EN面部图像和视网膜神经纤维层厚度图

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Purpose: To develop and evaluate a deep learning system for differentiating between eyes with and without glaucomatous visual field damage (GVFD) and predicting the severity of GFVD from spectral domain OCT (SD OCT) optic nerve head images.

机译：目的：开发和评估深度学习系统，用于区分眼睛与无胶石视野损伤（GVFD）和预测来自光谱域OCT（SD OCT）视神经头像的GFVD的严重程度。

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《Ophthalmology》 |2020年第3期|共11页
作者
Christopher Mark; Bowd Christopher; Belghith Akram; Goldbaum Michael H.; Weinreb Robert N.; Fazio Massimo A.; Girkin Christopher A.; Liebmann Jeffrey M.; Zangwill Linda M.;
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作者单位

Univ Calif San Diego Viterbi Family Dept Ophthalmol Shiley Eye Inst Hamilton Glaucoma Ctr La;

Univ Calif San Diego Viterbi Family Dept Ophthalmol Shiley Eye Inst Hamilton Glaucoma Ctr La;

Univ Calif San Diego Viterbi Family Dept Ophthalmol Shiley Eye Inst Hamilton Glaucoma Ctr La;

Univ Calif San Diego Viterbi Family Dept Ophthalmol Shiley Eye Inst Hamilton Glaucoma Ctr La;

Univ Calif San Diego Viterbi Family Dept Ophthalmol Shiley Eye Inst Hamilton Glaucoma Ctr La;

Univ Alabama Birmingham Sch Med Birmingham AL USA;

Univ Alabama Birmingham Sch Med Birmingham AL USA;

Columbia Univ Dept Ophthalmol Edward S Harkness Eye Inst Bernard &

Shirlee Brown Glaucoma Res;

Univ Calif San Diego Viterbi Family Dept Ophthalmol Shiley Eye Inst Hamilton Glaucoma Ctr La;

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正文语种 eng
中图分类眼科学;
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1. Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps [J] . Christopher Mark, Bowd Christopher, Belghith Akram, Ophthalmology . 2020,第3期

机译：深度学习方法预测Oct视神经头的青光眼视野损伤EN面部图像和视网膜神经纤维层厚度图
2. Deep Learning Approaches Can Detect Glaucomatous Functional Loss better than standard SD-OCT Retinal Nerve Fiber Layer Thickness [J] . Christopher Mark, Belghith Akram, Bowd Christopher, Investigative ophthalmology & visual science . 2018,第9期

机译：深度学习方法可以比标准SD-OCT视网膜神经纤维层厚度探测胶石功能损失更好
3. Deep Learning Approaches Can Detect Glaucomatous Functional Loss better than standard SD-OCT Retinal Nerve Fiber Layer Thickness [J] . Christopher Mark, Belghith Akram, Bowd Christopher, Investigative ophthalmology & visual science . 2018,第9期

机译：深度学习方法可以比标准SD-OCT视网膜神经纤维层厚度探测胶石功能损失更好
4. Graph Search - Active Appearance Model based Automated Segmentation of Retinal Layers for Optic Nerve Head Centered OCT Images [C] . Enting Gao, Fei Shi, Weifang Zhu, Conference on Image Processing . 2017

机译：图搜索-基于主动外观模型的视网膜神经中心OCT图像的视网膜层自动分割
5. Reflectance and ultrastructure of the retinal nerve fiber layer in normal and glaucomatous retinas. [D] . Spector, Ye. 2013

机译：正常和青光眼视网膜中视网膜神经纤维层的反射率和超微结构。
6. Details of Glaucomatous Damage Are Better Seen on OCT En Face Images Than on OCT Retinal Nerve Fiber Layer Thickness Maps [O] . Donald C. Hood, Brad Fortune, Maria A. Mavrommatis, -1

机译：在OCT面部图像上比在OCT视网膜神经纤维层厚度图上更好地看到青光眼损伤的细节
7. Reproducibility of Peripapillary Retinal Nerve Fiber Layer Thickness and Optic Nerve Head Parameters Measured with Cirrus HD-OCT in Glaucomatous Eyes [O] . Mwanza, Jean-Claude, Chang, Robert T., Budenz, Donald L., 2010

机译：用Cirrus HD-OCT在青光眼中测量乳头周围视网膜神经纤维层厚度和视神经头参数的再现性

Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps

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