Automated brain tumor identification using magnetic resonance imaging: A systematic review and meta-analysis

BACKGROUND: Automated brain tumor identification facilitates diagnosis and treatment planning. We evaluate the performance of traditional machine learning (TML) and deep learning (DL) in brain tumor detection and segmentation, using MRI. METHODS: A systematic literature search from January 2000 to M...

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Detalles Bibliográficos
Autores principales: Kouli, Omar, Hassane, Ahmed, Badran, Dania, Kouli, Tasnim, Hossain-Ibrahim, Kismet, Steele, J Douglas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9234754/
https://www.ncbi.nlm.nih.gov/pubmed/35769411
http://dx.doi.org/10.1093/noajnl/vdac081

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9234754/
https://www.ncbi.nlm.nih.gov/pubmed/35769411
http://dx.doi.org/10.1093/noajnl/vdac081

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