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Data Brief. 2018 Dec 28;22:601-604. doi: 10.1016/j.dib.2018.12.073. eCollection 2019 Feb.

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

Author information

1
Dept. of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.
2
Wilmer Eye Institute, The Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
3
Dept. of Neurology, The Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.

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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