|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 Networks, International Journal of Innovative Research in Technology(www.ijirt.org) ,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.|
|Unique Paper ID: 148607|
Publication Volume & Issue: Volume 6, Issue 4
Page(s): 13 - 17
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