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Deriving quantitative information from multiparametric MRI via Radiomics: Evaluation of the robustness and predictive value of radiomic features in the discrimination of low-grade versus high-grade gliomas with machine learning.
Ubaldi, Leonardo; Saponaro, Sara; Giuliano, Alessia; Talamonti, Cinzia; Retico, Alessandra.
  • Ubaldi L; National Institute for Nuclear Physics (INFN), Firenze Division, Firenze, Italy, Firenze, Italy; Department Biomedical Experimental and Clinical Science "Mario Serio", Univeristy of Firenze, Firenze, Italy.
  • Saponaro S; University of Pisa, Pisa, Italy; National Institute for Nuclear Physics (INFN), Pisa Division, Pisa, Italy. Electronic address: sara.saponaro@pi.infn.it.
  • Giuliano A; Medical Physics Department, San Luca Hospital, Lucca, Italy.
  • Talamonti C; National Institute for Nuclear Physics (INFN), Firenze Division, Firenze, Italy, Firenze, Italy; Department Biomedical Experimental and Clinical Science "Mario Serio", Univeristy of Firenze, Firenze, Italy.
  • Retico A; National Institute for Nuclear Physics (INFN), Pisa Division, Pisa, Italy.
Phys Med ; 107: 102538, 2023 Mar.
Article en En | MEDLINE | ID: mdl-36796177
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Imágenes de Resonancia Magnética Multiparamétrica / Glioma Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
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PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Imágenes de Resonancia Magnética Multiparamétrica / Glioma Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article