Refined Automatic Brain Tumor Classification Using Hybrid Convolutional Neural Networks for MRI Scans

Refined Automatic Brain Tumor Classification Using Hybrid Convolutional Neural Networks for MRI Scans

Refined hybrid convolutional neural networks are proposed in this work for classifying brain tumor classes based on MRI scans. A dataset of 2880 T1-weighted contrast-enhanced MRI brain scans are used. The dataset contains three main classes of brain tumors: gliomas, meningiomas, and pituitary tumors...

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Bibliographic Details
Main Authors: Fatma E. AlTahhan, Ghada A. Khouqeer, Sarmad Saadi, Ahmed Elgarayhi, Mohammed Sallah
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Diagnostics
Subjects:
brain tumors classification
T1 MRI scans
GoogleNet CNN
AlexNet CNN
support vector machine (SVM)
K-nearest neighbor (KNN)
Online Access:https://www.mdpi.com/2075-4418/13/5/864

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https://www.mdpi.com/2075-4418/13/5/864

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