Brain region segmentation by using the Convolution Neural Networks
Kondeti.Navitha, P.Yugandhar Reddy, V.Chandrasekhar
Cite This Article:
Brain region segmentation by using the Convolution Neural NetworksInternational Journal of Innovative Research in Technology( ,ISSN: 2349-6002 ,Volume 6 ,Issue 4 ,Page(s):13-17 ,August 2019 ,Available :IJIRT148607_PAPER.pdf
Brain region segmentation, skull stripping, MRI,convolutional neural network
Brain region segmentation or skull stripping is an essential step in neuroimaging application such as surgical, surface reconstruction, image registration etc. The accuracy of all existing methods depends on the registration and image geometry. When this fails, the probability of success is very less.In order to avoid this, Convolutional Neural Network (CNN) is used. For brain extraction which is free from geometry and registration. CNN learned the connectedness and shape of the brain. OASIS database is used which is publicly available benchmark dataset. In this method, training phase uses 30images and 10 images are used for testing phase. The performance of CNN results is closer to the ground truth results given by experts.
Article Details
Unique Paper ID: 148607

Publication Volume & Issue: Volume 6, Issue 4

Page(s): 13 - 17
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Last Date 25 January 2020

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