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

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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Bibliographic Details
Main Authors: Muhammad Attique Khan, Imran Ashraf, Majed Alhaisoni, Robertas Damaševičius, Rafal Scherer, Amjad Rehman, Syed Ahmad Chan Bukhari
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Diagnostics
Subjects:
brain tumor
healthcare
linear contrast
transfer learning
deep learning features
feature selection
Online Access:https://www.mdpi.com/2075-4418/10/8/565

Internet

https://www.mdpi.com/2075-4418/10/8/565

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