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| 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
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