An efficient hybrid model of CNNs and different kernels of SVM for brain tumor classification
Technological advancements have had a profound impact on various aspects of human existence. The realm of medicine is one major area where technology has made important advances. We will talk specifically about the role technology has had in treating brain tumors, a serious and widespread condition...
Saved in:
Main Authors: | Mohammed Bourennane, Hilal Naimi |
---|---|
Format: | Article |
Language: | English |
Published: |
Universidade Federal de Viçosa (UFV)
2023-10-01
|
Series: | The Journal of Engineering and Exact Sciences |
Subjects: | |
Online Access: | https://periodicos.ufv.br/jcec/article/view/16739 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Co-Evolutionary Genetic Algorithm Approach to Optimizing Deep Learning for Brain Tumor Classification
by: Abdelmgeid A. Ali, et al.
Published: (2025-01-01) -
Decision-making in clinical diagnostic for brain tumor detection based on advanced machine learning algorithm
by: Huang Tangsen, et al.
Published: (2025-01-01) -
A Lightweight Convolutional Neural Network for Classification of Brain Tumors Using Magnetic Resonance Imaging
by: Mahir Kaya, et al.
Published: (2024-12-01) -
IMCMK-CNN: A lightweight convolutional neural network with Multi-scale Kernels for Image-based Malware Classification
by: Dandan Zhang, et al.
Published: (2025-01-01) -
Monthly Runoff Forecasting Model Based on Electrostatic DischargeAlgorithm-Mixed Kernel SVM and Its Application
by: LI Xiangrong
Published: (2020-01-01)