DSpace
 

Depot Institutionnel de l'UMBB >
Publications Scientifiques >
Communications Internationales >

Veuillez utiliser cette adresse pour citer ce document : http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/11320

Titre: Edge detection of MRI brain images based on segmentation and classification using support vector machines and neural networks pattern recognition
Auteur(s): Iourzikene, Zouhir
Benazzouz, Djamel
Gougam, Fawzi
Mots-clés: Brain image
Neural networks pattern recognition
Segmentation
Support vector machine
Date de publication: 2023
Editeur: Springer
Collection/Numéro: Lecture Notes in Networks and Systems/ Vol.591 (2023);pp. 99-105
Résumé: Brain tumor (brain cancer) is a mass of abnormal cells that grow in the brain in an uncontrolled way. Brain CT and brain MRI are the most frequently performed examinations. The objective of this paper is to develop a method for the classification of brain MRI images of healthy cases and tumor cases. MRI brain database is obtained by preprocessing, segmentation, feature extraction. Feature extraction based on support vector machines (clustering) is used in this research. The objective of this method is to create several vectors and each vector contains a number of features of each image, so that we can make the classification by these features
URI/URL: DOI 10.1007/978-3-031-21216-1_11
https://link.springer.com/chapter/10.1007/978-3-031-21216-1_11
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/11320
ISBN: 978-303121215-4
ISSN: 23673370
Collection(s) :Communications Internationales

Fichier(s) constituant ce document :

Il n'y a pas de fichiers associés à ce document.

View Statistics

Tous les documents dans DSpace sont protégés par copyright, avec tous droits réservés.

 

Valid XHTML 1.0! Ce site utilise l'application DSpace, Version 1.4.1 - Commentaires