Retinal layer parcellation of optical coherence tomography images: Data resource for multiple sclerosis and healthy controls

光学相干断层扫描图像的视网膜层划分:多发性硬化症和健康对照组的数据资源

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Abstract

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).

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