Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 22, Pages: 1-10
Madhulika Bhatia1*, Abhay Bansal1 , Divakar Yadav2 and Priya Gupta3
1 Department of Computer Science and Engineering, Amity University, Noida - 201301, Uttar Pradesh, India; [email protected], [email protected]
2 Department of Computer Science and Engineering, Jaypee University, Noida - 201307, Uttar Pradesh, India; [email protected]
3 J S Hospital, Sector 132, Noida – 201304, Uttar Pradesh, India; [email protected]
Background/Objectives: To classify brain MRI Images utilizing neural system. The methodology helps the specialist to robotize the examination of MRI Images and to group them into healthy and unhealthy one. Methods/Statistical Analysis: A methodology is proposed to recognize grey matter so that unhealthy MRI images can be ordered from healthy MRI Images. Classification of Brain MRI Images on the premise of Gray matter and white matter is done utilizing Neural Network pattern recognition. The novel methodology utilizes preprocessing strategies and various filters available in matlab for viable extraction and investigation of Brain MRI Images taken from BRAINIX and Neuroimaging data repository. Findings: The work has been tested on 227 variables on fifteen patients. Out of 15 samples,70% of samples are taken for Training, 15% for validation and15% for testing. Application/Improvements: This methodology is a simple alternative to be utilized as a part of doctor's facilities and medicinal places to guide doctors as well as researchers.
Keywords: Image Processing, MRI Images, Neural Network, Pattern Recognition
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