Abnormal tissus extraction in MRI brain medical images

Author

Cherifi, Dalila ; Doghmane, M. Zinelabidine ; Nait-Ali, Amine ; Aici, Zakia ; Bouzelha, Salim

Author_Institution

Inst. of Electr. & Electron. Eng., Univ. of Boumerdes, Boumerdes, Algeria

fYear

2011

fDate

9-11 May 2011

Firstpage

357

Lastpage

360

Abstract

This study is a comparison between two image segmentation´s methods; the first method is based on normal brain´s tissue recognition then tumor extraction using thresholding method. The second method is classification based on EM segmentation which is used for both brain recognition and tumor extraction. The goal of these methods is to detect, segment, extract, classify and measure properties of the brain normal and abnormal (tumor) tissues.

Keywords

biological tissues; biomedical MRI; brain; feature extraction; image recognition; image segmentation; medical image processing; tumours; EM segmentation; MRI brain medical images; abnormal tissue extraction; brain tissue recognition; image segmentation method; thresholding method; tumor extraction; Brain modeling; Computational modeling; Diseases; Image segmentation; Magnetic resonance imaging; Pixel; Tumors; EM segmentation; brain segmentation; magnetique resonance images; tumor extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signal Processing and their Applications (WOSSPA), 2011 7th International Workshop on

Conference_Location

Tipaza

Print_ISBN

978-1-4577-0689-9

Type

conf

DOI

10.1109/WOSSPA.2011.5931510

Filename

5931510

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1930711