Data on the verification and validation of segmentation and registration methods for diffusion MRI.

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Ressource 1Download: BIB_6F3E124A67DE.P001.pdf (1216.01 [Ko])
State: Public
Version: author
Serval ID
serval:BIB_6F3E124A67DE
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Data on the verification and validation of segmentation and registration methods for diffusion MRI.
Journal
Data In Brief
Author(s)
Esteban O., Zosso D., Daducci A., Bach-Cuadra M., Ledesma-Carbayo M.J., Thiran J.P., Santos A.
ISSN
2352-3409 (Electronic)
ISSN-L
2352-3409
Publication state
Published
Issued date
2016
Peer-reviewed
Oui
Volume
8
Pages
871-876
Language
english
Notes
Publication types: Journal ArticlePublication Status: epublish
Abstract
The verification and validation of segmentation and registration methods is a necessary assessment in the development of new processing methods. However, verification and validation of diffusion MRI (dMRI) processing methods is challenging for the lack of gold-standard data. The data described here are related to the research article entitled "Surface-driven registration method for the structure-informed segmentation of diffusion MR images" [1], in which publicly available data are used to derive golden-standard reference-data to validate and evaluate segmentation and registration methods in dMRI.
Pubmed
Open Access
Yes
Create date
11/08/2016 14:03
Last modification date
20/08/2019 15:28
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