Open AccessBrain MRI Segmentation using Cellular Automata in k-Means Algorithm
Author(s) -
Jasmeena Tariq*,
Dr.A.Muthu Kumaravel
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.a5095.119119
Subject(s) - cellular automaton , computer science , segmentation , simple (philosophy) , simplicity , magnetic resonance imaging , artificial intelligence , automaton , medical imaging , theoretical computer science , algorithm , medicine , radiology , philosophy , epistemology
Tumors in brain have a fast growth(malignant) and should be prevented through various medical ways. However detecting these tumor cells accurately can help the medical professionals to provide accurate and hassle free diagnosis and treatment. Thus we are using Cellular Automata to provide better detection methods in an MRI(Magnetic Resonance Imaging). Cellular Automat is widely used concept with image processing. It is a system which id discreet and dynamic and comprises of simple cellular grid and rules, and works locally. Due to simplicity and usage in complex problems it is widely used concept in many new emerging data science complex problems. Conway’s Game of Life is very well known cellular automata and thus researchers are becoming more interested in CA