Cargando…
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...
Autores principales: | Ortiz, Andrés, Munilla, Jorge, Martínez-Ibañez, Manuel, Górriz, Juan M., Ramírez, Javier, Salas-Gonzalez, Diego |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6614282/ https://www.ncbi.nlm.nih.gov/pubmed/31312131 http://dx.doi.org/10.3389/fninf.2019.00048 |
Ejemplares similares
-
Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease
por: Munilla, Jorge, et al.
Publicado: (2017) -
Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis
por: Ortiz, Andrés, et al.
Publicado: (2015) -
Isosurfaces: geometry, topology, and algorithms
por: Wenger, Rephael
Publicado: (2013) -
Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson's Disease
por: Castillo-Barnes, Diego, et al.
Publicado: (2018) -
Resolving the topological ambiguity in approximating scalar function isosurface
por: Matveev, V S
Publicado: (1993)