Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks

Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks

Computer aided diagnosis systems based on brain imaging are an important tool to assist in the diagnosis of Parkinson's disease, whose ultimate goal is the detection by automatic recognizing of patterns that characterize the disease. In recent times Convolutional Neural Networks (CNN) have prov...

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Bibliographic Details
Main Authors: Andrés Ortiz, Jorge Munilla, Manuel Martínez-Ibañez, Juan M. Górriz, Javier Ramírez, Diego Salas-Gonzalez
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-07-01
Series:Frontiers in Neuroinformatics
Subjects:
deep learning
isosurfaces
Parkinson's disease
convolutional neural networks
computer-aided diagnosis
Online Access:https://www.frontiersin.org/article/10.3389/fninf.2019.00048/full

Internet

https://www.frontiersin.org/article/10.3389/fninf.2019.00048/full

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