Glioma Tumors’ Classification Using Deep-Neural-Network-Based Features with SVM Classifier

The complexity of brain tissue requires skillful technicians and expert medical doctors to manually analyze and diagnose Glioma brain tumors using multiple Magnetic Resonance (MR) images with multiple modalities. Unfortunately, manual diagnosis suffers from its lengthy process, as well as elevated c...

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Detalles Bibliográficos
Autores principales: Latif, Ghazanfar, Ben Brahim, Ghassen, Iskandar, D. N. F. Awang, Bashar, Abul, Alghazo, Jaafar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032951/
https://www.ncbi.nlm.nih.gov/pubmed/35454066
http://dx.doi.org/10.3390/diagnostics12041018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032951/
https://www.ncbi.nlm.nih.gov/pubmed/35454066
http://dx.doi.org/10.3390/diagnostics12041018

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