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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.

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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