Trends in Development of Novel Machine Learning Methods for the Identification of Gliomas in Datasets That Include Non-Glioma Images: A Systematic Review

PURPOSE: Machine learning has been applied to the diagnostic imaging of gliomas to augment classification, prognostication, segmentation, and treatment planning. A systematic literature review was performed to identify how machine learning has been applied to identify gliomas in datasets which inclu...

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Detalles Bibliográficos
Autores principales: Subramanian, Harry, Dey, Rahul, Brim, Waverly Rose, Tillmanns, Niklas, Cassinelli Petersen, Gabriel, Brackett, Alexandria, Mahajan, Amit, Johnson, Michele, Malhotra, Ajay, Aboian, Mariam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733688/
https://www.ncbi.nlm.nih.gov/pubmed/35004312
http://dx.doi.org/10.3389/fonc.2021.788819

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733688/
https://www.ncbi.nlm.nih.gov/pubmed/35004312
http://dx.doi.org/10.3389/fonc.2021.788819

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