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Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists

Manual identification of brain tumors is an error-prone and tedious process for radiologists; therefore, it is crucial to adopt an automated system. The binary classification process, such as malignant or benign is relatively trivial; whereas, the multimodal brain tumors classification (T1, T2, T1CE...

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Detalles Bibliográficos
Autores principales:	Khan, Muhammad Attique, Ashraf, Imran, Alhaisoni, Majed, Damaševičius, Robertas, Scherer, Rafal, Rehman, Amjad, Bukhari, Syed Ahmad Chan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459797/ https://www.ncbi.nlm.nih.gov/pubmed/32781795 http://dx.doi.org/10.3390/diagnostics10080565

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