MR Brain Image Segmentation Based on Self-Organizing Map and Neural Network
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 12
Abstract
Image segmentation is an important process to extract information from complex medical images. Segmentation has wide application in medical field. The main objective of image segmentation is to partition an image into mutually exclusive and exhausted regions such that each region of interest is spatially contiguous and the pixels within the region are homogeneous with respect to a predefined criterion. The main objective of our project is to develop various segmentation algorithms such as Self organizing map and Neural Network to detect the various tissues like white matter, gray matter and cerebral spinal fluid for a given magnetic resonance image data set and also provide satisfactory results compared to other algorithm in terms of misclassification rate, specificity, sensitivity and correlation.
Authors and Affiliations
E. Dilliraj, P. Vadivu , A. Anbarasi
Keywords
Related Articles
- EP ID EP19270
- DOI -
- Views 276
- Downloads 5
Carbon Nanotubes and Its Applications: A Review
Carbon nanotubes also known as CNTs are allotropes of carbon with a tubular nanostructure, having diameters ranging from less than 1 nanometre (nm) up to 50 nm. CNTs have extraordinary electrical, mechanical, optical, t...
Optimized Association Rule Mining with Maximum Constraints using Genetic Algorithm
Association rule mining is to find out association rules that satisfy the predefined minimum support and confidence from a given database.. In this paper initially we applied Apriori algorithm in order to generate frequ...
slugData Mining Techniques on Medical Data for Finding Locally Frequent Diseases
In the last decade there has been increasing usage of data mining techniques on medical data for discovering useful patterns or trends which are used in decision making and diagnosis. Data mining techniques such as clus...
Red Blood Cell Identification Using Watershed Technique
Diseases caused by any parasite can be diagnosed using the shape of RBCs and WBCs. The blood sample consists of different cells like RBCs, WBCs, and Platelets from which manual shape analysis may not be accurate. So the...
Anaerobic digestion of Municipal Solid biodegradable wastes for methane production:A Review
The untreated and undisposed municipal solid waste generated through different sources is a major concern of the world now-a-days. There are millions of tonnes of municipal solid waste produced every year and the amount...