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Semi-Supervised Support Vector Machine for Digital Twins Based Brain Image Fusion

The purpose is to explore the feature recognition, diagnosis, and forecasting performances of Semi-Supervised Support Vector Machines (S3VMs) for brain image fusion Digital Twins (DTs). Both unlabeled and labeled data are used regarding many unlabeled data in brain images, and semi supervised suppor...

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Detalles Bibliográficos
Autores principales:	Wan, Zhibo, Dong, Youqiang, Yu, Zengchen, Lv, Haibin, Lv, Zhihan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298822/ https://www.ncbi.nlm.nih.gov/pubmed/34305523 http://dx.doi.org/10.3389/fnins.2021.705323

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