Application of an Artificial Intelligence Algorithm to Prognostically Stratify Grade II Gliomas

(1) Background: Recently, it has been shown that the extent of resection (EOR) and molecular classification of low-grade gliomas (LGGs) are endowed with prognostic significance. However, a prognostic stratification of patients able to give specific weight to the single parameters able to predict pro...

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Detalles Bibliográficos
Autores principales: Cesselli, Daniela, Ius, Tamara, Isola, Miriam, Del Ben, Fabio, Da Col, Giacomo, Bulfoni, Michela, Turetta, Matteo, Pegolo, Enrico, Marzinotto, Stefania, Scott, Cathryn Anne, Mariuzzi, Laura, Di Loreto, Carla, Beltrami, Antonio Paolo, Skrap, Miran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016715/
https://www.ncbi.nlm.nih.gov/pubmed/31877896
http://dx.doi.org/10.3390/cancers12010050

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016715/
https://www.ncbi.nlm.nih.gov/pubmed/31877896
http://dx.doi.org/10.3390/cancers12010050

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