Development of a Machine Learning Classifier Based on Radiomic Features Extracted From Post-Contrast 3D T1-Weighted MR Images to Distinguish Glioblastoma From Solitary Brain Metastasis

OBJECTIVES: To differentiate Glioblastomas (GBM) and Brain Metastases (BM) using a radiomic features-based Machine Learning (ML) classifier trained from post-contrast three-dimensional T1-weighted (post-contrast 3DT1) MR imaging, and compare its performance in medical diagnosis versus human experts,...

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Dades bibliogràfiques
Publicat a:Front Oncol
Autors principals: de Causans, Alix, Carré, Alexandre, Roux, Alexandre, Tauziède-Espariat, Arnault, Ammari, Samy, Dezamis, Edouard, Dhermain, Frederic, Reuzé, Sylvain, Deutsch, Eric, Oppenheim, Catherine, Varlet, Pascale, Pallud, Johan, Edjlali, Myriam, Robert, Charlotte
Format: Artigo
Idioma:Inglês
Publicat: Frontiers Media S.A. 2021
Matèries:
Oncology
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC8315001/
https://ncbi.nlm.nih.gov/pubmed/34327133
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2021.638262
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