Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation

Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation

Virtual delineation of white matter bundles in the human brain is of paramount importance for multiple applications, such as pre-surgical planning and connectomics. A substantial body of literature is related to methods that automatically segment bundles from diffusion Magnetic Resonance Imaging (dM...

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Bibliographic Details
Main Authors: Giulia Bertò, Daniel Bullock, Pietro Astolfi, Soichi Hayashi, Luca Zigiotto, Luciano Annicchiarico, Francesco Corsini, Alessandro De Benedictis, Silvio Sarubbo, Franco Pestilli, Paolo Avesani, Emanuele Olivetti
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:NeuroImage
Subjects:
White matter bundle segmentation
Supervised learning
Linear classification
Diffusion Magnetic Resonance Imaging (dMRI)
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920308879

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http://www.sciencedirect.com/science/article/pii/S1053811920308879

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