Future of Information and Communication Conference (FICC) 2024
4-5 April 2024
Publication Links
IJACSA
Special Issues
Future of Information and Communication Conference (FICC)
Computing Conference
Intelligent Systems Conference (IntelliSys)
Future Technologies Conference (FTC)
International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 3, 2023.
Abstract: Recently, Deep learning algorithms, particularly Convolutional Neural Networks (CNNs), have been applied extensively for image recognition and classification tasks, with successful results in the field of medicine, such as in medical image analysis. Radiologists have a hard time categorizing this lethal illness since brain tumors include a variety of tumor cells. Lately, methods based on computer-aided diagnostics claimed to employ magnetic resonance imaging to help with the diagnosis of brain cancers (MRI). Convolutional Neural Networks (CNNs) are often used in medical image analysis, including the detection of brain cancers. This effort was motivated by the difficulty that physicians have in appropriately detecting brain tumors, particularly when they are in the early stages of brain bleeding. This proposed model categorized the brain image into four distinct classes: (Normal, Glioma, Meningioma, and Pituitary). The proposed CNN networks reach 95% of recall, 95.44% accuracy and 95.36% of F1-score.
Mohamed Amine Mahjoubi, Soufiane Hamida, Oussama El Gannour, Bouchaib Cherradi, Ahmed El Abbassi and Abdelhadi Raihani, “Improved Multiclass Brain Tumor Detection using Convolutional Neural Networks and Magnetic Resonance Imaging” International Journal of Advanced Computer Science and Applications(IJACSA), 14(3), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140346
@article{Mahjoubi2023,
title = {Improved Multiclass Brain Tumor Detection using Convolutional Neural Networks and Magnetic Resonance Imaging},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140346},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140346},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {3},
author = {Mohamed Amine Mahjoubi and Soufiane Hamida and Oussama El Gannour and Bouchaib Cherradi and Ahmed El Abbassi and Abdelhadi Raihani}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.