AN ANN APPROACH FOR CLASSIFICATION OF BRAIN TUMOR USING IMAGE PROCESSING TECHNIQUES IN MRI IMAGES
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 2015, Vol 4, Issue 12
Abstract
A brain tumor is defined as the growth of abnormal cells in the tissues of the brain. Brain tumors can be benign (noncancerous) or malignant (cancerous). MRI represents an interesting approach for the anatomical assessment of brain tumors since it provides superior soft tissue contrast and high-resolution information. MRI scan images are taken for this project to process further. This work proposed artificial neural network approach namely Back propagation network (BP-ANN).Image segmentation is done by using region growing algorithm which is used to detect the tumor present in the brain MRI images. GLCM is used for extracting the brain features in the images. This system proposed two modes namely training and testing phase which is used to classify the output.
Authors and Affiliations
A. Sindhu
Keywords
Related Articles
- EP ID EP138307
- DOI -
- Views 60
- Downloads 0
INHIBITION OF E.CANCEROGENUS MAB-1 β -LACTAMASE BY SYNERGISTIC FORMULATION: AN IN VITRO HERBAL SHOTGUN STUDY
β-lactamases are increasing worldwide speedily by creating problem to currently available UTI therapies and hence there is an urgent need of research to find the effective therapy. In the present study we propose to deve...
RESULT ANALYSIS OF FACIAL EXPRESSION RECOGNITION TECHNIQUES
Expression recognition possesses practically significant importance; it offers vast application prospects, such as user-friendly interface between people and machine, humanistic design of products, and an automati...
STRUCTURAL, OPTICAL AND PHOTOCONDUCTIVITY CHARACTERISTICS OF SnO2-ZnS NANOCOMPOSITE SYNTHESIZED BY A HYDROTHERMAL METHOD
SnO2-ZnS nanocomposite was successfully synthesized by a hydrothermal method utilizing tin chloride dihydrate, sodium hydroxide, zinc sulphate heptahydrate and sodium sulphide as precursors. The as-synthesized SnO...
Gear Oil Drainage from End-Of-Life Vehicles (Elvs): Statistical Results Gear Oil Drainage from End-Of-Life Vehicles (Elvs): Statistical Results
The aim of this paper is to present the descriptive and empirical results of the survey responses regarding the gear oil drainage from end-of-life vehicle (ELV). The study evaluates the various drainage procedures...
REDUCING COST OF POWER CONSUMPTION USING GOAL PROGRAMMING OPTIMIZATION AND RENEWABLE ENERGY SOURCE
The demand of cloud computing grows rapidly with the rapid increase in IT infrastructure. Cloud computing now a day, are widely used by industry, organization and society to deliver IT services. This rapid growth leads...