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Imaging Biomarkers of Glioblastoma Treatment Response: A Systematic Review and Meta-Analysis of Recent Machine Learning Studies
OBJECTIVE: Monitoring biomarkers using machine learning (ML) may determine glioblastoma treatment response. We systematically reviewed quality and performance accuracy of recently published studies. METHODS: Following Preferred Reporting Items for Systematic Reviews and Meta-Analysis: Diagnostic Tes...
Autores principales: | Booth, Thomas C., Grzeda, Mariusz, Chelliah, Alysha, Roman, Andrei, Al Busaidi, Ayisha, Dragos, Carmen, Shuaib, Haris, Luis, Aysha, Mirchandani, Ayesha, Alparslan, Burcu, Mansoor, Nina, Lavrador, Jose, Vergani, Francesco, Ashkan, Keyoumars, Modat, Marc, Ourselin, Sebastien |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842649/ https://www.ncbi.nlm.nih.gov/pubmed/35174084 http://dx.doi.org/10.3389/fonc.2022.799662 |
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