Brain Tumor Segmentation from MRI Images Using Handcrafted Convolutional Neural Network

Brain Tumor Segmentation from MRI Images Using Handcrafted Convolutional Neural Network

Brain tumor segmentation from magnetic resonance imaging (MRI) scans is critical for the diagnosis, treatment planning, and monitoring of therapeutic outcomes. Thus, this research introduces a novel hybrid approach that combines handcrafted features with convolutional neural networks (CNNs) to enhan...

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Bibliographic Details
Main Authors: Faizan Ullah, Muhammad Nadeem, Mohammad Abrar, Muna Al-Razgan, Taha Alfakih, Farhan Amin, Abdu Salam
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Diagnostics
Subjects:
optimization methods
computational approaches
brain tumor
feature fusion
handcrafted features
hybrid approach
Online Access:https://www.mdpi.com/2075-4418/13/16/2650

Internet

https://www.mdpi.com/2075-4418/13/16/2650

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