DETECTION OF BRAIN TUMOR USING ENHANCED K-STRANGE POINTS CLUSTERING AND MORPHOLOGICAL FILTERING
Journal Title: International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR) - Year 2017, Vol 7, Issue 3
Abstract
Image processing has become an emerging area of endless possibilities to explore and advances in this domain are gaining momentum. A brain tumor is an abnormal growth, which is caused due to cells reproducing themselves in an uncontrolled manner. In this paper, a simple and effective algorithm for detecting the presence and area of the tumor in brain MR images is described. Generally, a physician visually examines a CT or an MRI brain scan for the diagnosis of the brain tumor, which is usually a manual process. To avoid this problem, the proposed project aims to automate this problem by making use of a computer-aided method for the detection of brain tumor. This method detects brain tumor tissue with higher accuracy and lesser time as compared to the manual analysis.
Authors and Affiliations
NORA NAIK, ALAN PEREIRA, SHRUT IDHEKNE, SHUBHAM KADAM, ANKITA KALANGUTKAR
Keywords
Related Articles
- EP ID EP227543
- DOI 10.24247/ijcseitrjun20176
- Views 111
- Downloads 0
PRIVACY PRESERVING FOR NUMERIC DATA QUERY IN CLOUD COMPUTING
In the present situation, organizations and individuals are outsourcing database to limit their exertion and to get a minimal effort benefit. Keeping in mind the end goal to give the adequate usefulness to SQL inquiries,...
The Driver for the Scull_Open Discovery Function, Read / Write Scull_Read / Scull_Write For a Protected Linux OS
In this article the principle of implementing a special-purpose device driver for secure Linux operating systems, using the example of a simple character driver is discussed. The main goal is to summarize and form the ba...
A FRAMEWORK FOR KEEPING DATA SAFE IN CLOUD TRANSMISSIONS
Cloud Computing is the generation architecture of Entreprises. The data is transferred between the client and server in cloud computing. Cloud computing contrasts traditional solutions with logical and physical controls....
Insight of Various Pos Tagging Techniques for Hindi Language
Natural language processing (NLP), is the process of extracting meaningful information from natural language. Part of speech (POS) tagging is considered as one of the important tools, for Natural language processing. Par...
A CASE STUDY OF EXISTING QUALITY MODEL BASED ON DEFECTS & TESTS MANAGEMENT OF EMBEDDED SOFTWARE SYSTEM
Any customer buying or using a product or services first thinks of quality. Quality is directly associated with what an end user expects to work and whether it’s working as per requirements or features delivered. Anythin...