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

Internet

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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