Machine Learning Applications for Differentiation of Glioma from Brain Metastasis—A Systematic Review

SIMPLE SUMMARY: We present a systematic review of published reports on machine learning (ML) applications for the differentiation of gliomas from brain metastases by summarizing study characteristics, strengths, and pitfalls. Based on these findings, we present recommendations for future research in...

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Detalles Bibliográficos
Autores principales: Jekel, Leon, Brim, Waverly R., von Reppert, Marc, Staib, Lawrence, Cassinelli Petersen, Gabriel, Merkaj, Sara, Subramanian, Harry, Zeevi, Tal, Payabvash, Seyedmehdi, Bousabarah, Khaled, Lin, MingDe, Cui, Jin, Brackett, Alexandria, Mahajan, Amit, Omuro, Antonio, Johnson, Michele H., Chiang, Veronica L., Malhotra, Ajay, Scheffler, Björn, Aboian, Mariam S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Systematic Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8946855/
https://www.ncbi.nlm.nih.gov/pubmed/35326526
http://dx.doi.org/10.3390/cancers14061369

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8946855/
https://www.ncbi.nlm.nih.gov/pubmed/35326526
http://dx.doi.org/10.3390/cancers14061369

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