Performance analysis of various methods of tumour detection

Author

Handore, Shubhangi ; Kokare, Dhanashri

Author_Institution

Dept. E&TC, Trinity C.O.E. & Res., Pune, India

fYear

2015

fDate

8-10 Jan. 2015

Firstpage

1

Lastpage

4

Abstract

Brain tumours are considered to be serious kind of disease in Medical field. Brain Tumours are reason of the abnormal and uncontrolled division and growth of cells in the brain region itself. If this uncontrolled growth becomes more than 60% then the patient is unable to recover. So, it is must to have the fast and accurate detection of the brain tumour. Different algorithms are provided for the tumour detection. The step for tumour detection starts with the acquisition of MRI scan image of tumour. MRI image have the gray and white matter and the region affected by tumour is of high intensity. This paper describes comparative study of various methods for tumour detection. Tumour detection by Edge Detection gives the exact location of tumour and image segmentation plays an important role in medical imaging. So, Segmentation can work efficiently for detecting and extracting the tumour from MRI image of the patient.

Keywords

biomedical MRI; brain; diseases; edge detection; feature extraction; image segmentation; medical image processing; tumours; MRI scan image; brain region; brain tumour; disease; edge detection; gray matter; image segmentation; medical field; medical imaging; tumour detection; tumour extraction; uncontrolled growth; white matter; Image edge detection; Image segmentation; Magnetic resonance imaging; Maximum likelihood detection; Noise; Nonlinear filters; Tumors; Brain Tumour; Edge Detection; MRI image; Segmentation; Watershed transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Pervasive Computing (ICPC), 2015 International Conference on

Conference_Location

Pune

Type

conf

DOI

10.1109/PERVASIVE.2015.7087002

Filename

7087002