Multi-modal magnetic resonance imaging-based grading analysis for gliomas by integrating radiomics and deep features

BACKGROUND: To investigate the feasibility of integrating global radiomics and local deep features based on multi-modal magnetic resonance imaging (MRI) for developing a noninvasive glioma grading model. METHODS: In this study, 567 patients [211 patients with glioblastomas (GBMs) and 356 patients wi...

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Detalles Bibliográficos
Autores principales: Ning, Zhenyuan, Luo, Jiaxiu, Xiao, Qing, Cai, Longmei, Chen, Yuting, Yu, Xiaohui, Wang, Jian, Zhang, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7944310/
https://www.ncbi.nlm.nih.gov/pubmed/33708925
http://dx.doi.org/10.21037/atm-20-4076

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7944310/
https://www.ncbi.nlm.nih.gov/pubmed/33708925
http://dx.doi.org/10.21037/atm-20-4076

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