Retinal layer parcellation of optical coherence tomography images: Data resource for multiple sclerosis and healthy controls
Retinal layer parcellation of optical coherence tomography images: Data resource for multiple sclerosis and healthy controls
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DOI：
10.1016/j.dib.2018.12.073
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发表时间：
2019-02-01
期刊：
影响因子：
1.2
通讯作者：
Prince, Jerry L.
中科院分区：
文献类型：
--
作者：
He, Yufan;Carass, Aaron;Prince, Jerry L.
本文介绍了光学相干断层扫描（OCT）图像的人类视网膜和手动划定的八个视网膜层。数据包括在Spectralis OCT系统（Heidelberg Engineering，Heidelberg，德国）上获取的35个人视网膜扫描，其中14个是健康对照（HC），21个诊断为多发性硬化症（MS）。所提供的数据包括对八个视网膜层的手动描绘，这些数据经过独立审查和编辑。本文中给出的数据用于验证自动分割算法（Lang等人，2013年）。(C)2019由Elsevier Inc.出版
This paper presents optical coherence tomography (OCT) images of the human retina and manual delineations of eight retinal layers. The data includes 35 human retina scans acquired on a Spectralis OCT system (Heidelberg Engineering, Heidelberg, Germany), 14 of which are healthy controls (HC) and 21 have a diagnosis of multiple sclerosis (MS). The provided data includes manually delineation of eight retina layers, which were independently reviewed and edited. The data presented in this article was used to validate automatic segmentation algorithms (Lang et al., 2013). (C) 2019 Published by Elsevier Inc.