Overview on segmentation and classification for the Alzheimer’s disease detection from brain MRI
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2017 by IJCTT Journal|
|Year of Publication : 2017|
|Authors : Kajal Kiran Gulhare, S. P. Shukla, L. K. Sharma|
|DOI : 10.14445/22312803/IJCTT-V43P119|
Kajal Kiran Gulhare, S. P. Shukla, L. K. Sharma "Overview on segmentation and classification for the Alzheimer’s disease detection from brain MRI". International Journal of Computer Trends and Technology (IJCTT) V43(2):130-132, January 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
The several studies projected that approximately 115 million people will be affected from Alzheimer disease (AD) worldwide by the year 2050. Early detection of AD is important so that preventative measures can be taken place. The human brain Magnetic resonance imaging (MRI) data have been used to detection of AD. Due to the variation and complexity of brain tissue the MRI data analysis for detection AD is considered as difficult process. The objective of this study is to explore the recent published segmentation and classification techniques and discuss the usability in AD detection of the human brain MRI data.
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Alzheimer disease, MRI Data, Medical Image, Segmentation, Classification.