MNC-Net: Multi-task graph structure learning based on node clustering for early Parkinson's disease diagnosis.

Huang, Liqin; Ye, Xiaofang; Yang, Mingjing; Pan, Lin; Zheng, Shao Hua

Huang, Liqin; Ye, Xiaofang; Yang, Mingjing; Pan, Lin; Zheng, Shao Hua.

Afiliación

Huang L; College of Physics and Information Engineering, Fuzhou University, Fuzhou, China.
Ye X; College of Physics and Information Engineering, Fuzhou University, Fuzhou, China.
Yang M; College of Physics and Information Engineering, Fuzhou University, Fuzhou, China. Electronic address: yangmj5@fzu.edu.cn.
Pan L; College of Physics and Information Engineering, Fuzhou University, Fuzhou, China.
Zheng SH; College of Physics and Information Engineering, Fuzhou University, Fuzhou, China.

Comput Biol Med ; 152: 106308, 2023 01.

Article en En | MEDLINE | ID: mdl-36462371

Asunto(s)

Enfermedad de Parkinson; Humanos; Enfermedad de Parkinson/diagnóstico por imagen; Imagen por Resonancia Magnética/métodos; Encéfalo/diagnóstico por imagen; Redes Neurales de la Computación; Diagnóstico Precoz

Palabras clave

Clinical scores; Early Parkinson's disease; Graph neural networks; Structural brain network

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad de Parkinson Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2023 Tipo del documento: Article País de afiliación: China

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