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Unsupervised Segmentation of Brain Regions With Similar Microstructural Properties: Application to Alcoholism

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Unsupervised Segmentation of Brain Regions With Similar Microstructural Properties: Application to Alcoholism

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Cosa Liñan, A.; Canals Gamoneda, S.; Vallés Lluch, A.; Moratal Pérez, D. (2013). Unsupervised Segmentation of Brain Regions With Similar Microstructural Properties: Application to Alcoholism. IEEE Engineering in Medicine and Biology Society. Conference Proceedings. 2013:1053-1056. doi:10.1109/EMBC.2013.6609685

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/84914

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Title: Unsupervised Segmentation of Brain Regions With Similar Microstructural Properties: Application to Alcoholism
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Termodinámica Aplicada - Departament de Termodinàmica Aplicada
Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Universitat Politècnica de València. Centro de Biomateriales e Ingeniería Tisular - Centre de Biomaterials i Enginyeria Tissular
Issued date:
Abstract:
In this work, a novel brain MRI segmentation approach evaluates microstructural differences between groups. Going further from the traditional segmentation of brain tissues (white matter -WM-, gray matter -GM- and cerebrospinal ...[+]
Subjects: MAXIMUM-LIKELIHOOD , MORPHOMETRY , MODEL , ALGORITHM
Copyrigths: Cerrado
Source:
IEEE Engineering in Medicine and Biology Society. Conference Proceedings. (issn: 1557-170X )
DOI: 10.1109/EMBC.2013.6609685
Publisher version: http://doi.org/10.1109/EMBC.2013.6609685
Type: Artículo

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