Cerebral abnormalities detection by region-growing segmentation and KNN classification

Author

Hachemi, B. ; Oudjemia, S. ; Alim, F. ; Seddiki, S. ; Talbi, F. ; Abdelaziz, M.

Author_Institution

Div. of Syst. Archit. & Multimedia (ASM), Centre for Dev. of Adv. Technol. (CDTA), Algiers, Algeria

fYear

2015

fDate

20-22 May 2015

Firstpage

23

Lastpage

26

Abstract

In this paper, we propose a computer aided diagnosis system for brain MRI. This system is based on region-growing segmentation and KNN classification. The co-occurrence matrix and the discrete wavelet decomposition methods are used to extract the parameters of suspect region. At the last part, we applied our system to other subject to estimate its accuracy.

Keywords

biomedical MRI; discrete wavelet transforms; feature extraction; image classification; image segmentation; matrix algebra; medical image processing; KNN classification; brain MRI; cerebral abnormality detection; co-occurrence matrix; computer aided diagnosis system; discrete wavelet decomposition methods; region-growing segmentation; suspect region parameter extraction; Computers; Image segmentation; Magnetic resonance imaging; Matrix decomposition; Medical diagnostic imaging; Tumors; Diagnostic support; KNN; MRI brain; Region-Growing; Tumor; segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing Technology (INTECH), 2015 Fifth International Conference on

Conference_Location

Galcia

Type

conf

DOI

10.1109/INTECH.2015.7173371

Filename

7173371