Multimodal Integration of Brain Images for MRI-Based Diagnosis in Schizophrenia

Multimodal Integration of Brain Images for MRI-Based Diagnosis in Schizophrenia

Magnetic resonance imaging (MRI) has been proposed as a source of information for automatic prediction of individual diagnosis in schizophrenia. Optimal integration of data from different MRI modalities is an active area of research aimed at increasing diagnostic accuracy. Based on a sample of 96 pa...

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Bibliographic Details
Main Authors: Raymond Salvador, Erick Canales-Rodríguez, Amalia Guerrero-Pedraza, Salvador Sarró, Diana Tordesillas-Gutiérrez, Teresa Maristany, Benedicto Crespo-Facorro, Peter McKenna, Edith Pomarol-Clotet
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Neuroscience
Subjects:
multimodal integration
schizophrenia
machine learning
computer-aided diagnosis
convolutional neural network
lasso
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.01203/full

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https://www.frontiersin.org/article/10.3389/fnins.2019.01203/full

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