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[深度学习与神经网络在眼科中的应用:光学相干断层扫描领域的应用]

[Deep learning and neuronal networks in ophthalmology : Applications in the field of optical coherence tomography].

作者信息

Treder M, Eter N

机构信息

Augenklinik, Universitätsklinikum Münster, Albert-Schweitzer-Campus 1, Gebäude D15, 48149, Münster, Deutschland.

出版信息

Ophthalmologe. 2018 Sep;115(9):714-721. doi: 10.1007/s00347-018-0706-0.

DOI:10.1007/s00347-018-0706-0
PMID:29675699
Abstract

Deep learning is increasingly becoming the focus of various imaging methods in medicine. Due to the large number of different imaging modalities, ophthalmology is particularly suitable for this field of application. This article gives a general overview on the topic of deep learning and its current applications in the field of optical coherence tomography. For the benefit of the reader it focuses on the clinical rather than the technical aspects.

摘要

深度学习正日益成为医学中各种成像方法的焦点。由于存在大量不同的成像模式,眼科尤其适合这一应用领域。本文对深度学习主题及其在光学相干断层扫描领域的当前应用进行了概述。为方便读者,本文重点关注临床而非技术方面。

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A Deep Learning Approach to Digitally Stain Optical Coherence Tomography Images of the Optic Nerve Head.深度学习方法对视神经头的光学相干断层扫描图像进行数字化染色。
Invest Ophthalmol Vis Sci. 2018 Jan 1;59(1):63-74. doi: 10.1167/iovs.17-22617.
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Beyond Retinal Layers: A Deep Voting Model for Automated Geographic Atrophy Segmentation in SD-OCT Images.
[萨尔兰大学眼科医院引入菲杜斯电子病历后的员工调查]
Ophthalmologe. 2022 May;119(5):471-480. doi: 10.1007/s00347-021-01514-1. Epub 2021 Oct 27.
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[Diagnostics of diseases of the optic nerve head in times of artificial intelligence and big data].[人工智能与大数据时代视神经乳头疾病的诊断]
Ophthalmologe. 2021 Sep;118(9):893-899. doi: 10.1007/s00347-021-01385-6. Epub 2021 Apr 22.
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J Digit Imaging. 2020 Dec;33(6):1428-1442. doi: 10.1007/s10278-020-00383-5. Epub 2020 Sep 23.
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