Open AccessAnalysis of MRI Data of Brain for CAD System
Author(s) -
Girish D Bonde,
Manish Jain
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.17.11560
Subject(s) - cad , computer science , magnetic resonance imaging , segmentation , support vector machine , artificial intelligence , pattern recognition (psychology) , brain cancer , variety (cybernetics) , machine learning , medicine , cancer , radiology , engineering , engineering drawing
Magnetic resonance imaging (MRI) technologies are currently one of the most effective tools in the diagnosis of a wide variety of socially significant pathologies including cancer, arteriosclerosis, episodes. Ischemic and neurodegenerative diseases [1, 2, 3, 4].This paper gives detailed idea of pre-processing, and segmentation(FCM, soft and hard) of MRI brain tumor images. This paper also insights the machine learning(SOM, NN and SVM) approach for automatic classification(PTPSA, fBM) of brain tissues. Different performance evaluation parameter and similarity metrics are discuss to define the efficiency of computer-aided diagnostic (CAD) system.