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Proposed segmentation algorithm for mri brain tumor images

Show simple item record ABDULRAQEB, A.R. SUSHKOVA, L.T. 2019-10-23T11:05:13Z 2019-10-23T11:05:13Z 2016
dc.identifier.citation ABDULRAQEB, A.R., SUSHKOVA, L.T. Proposed segmentation algorithm for mri brain tumor images. In: Health Technology Management. Book of abstracts: proc. of the 3rd intern. conf., October 6-17, 2016. Chişinău, 2016, p. 70. ISBN 978-9975-51-774-4 en_US
dc.identifier.isbn 978-9975-51-774-4
dc.description Abstract en_US
dc.description.abstract A great work in the field of medical imaging research was focused on brain tumors segmentation in the recent years [1]. In many Hospitals, brain tumor measurements are obtained by magnetic resonance images (MRI) radiologists, who measure the mass of the tumor manually by using widely available imaging software. Such approach is a time consuming task and leads to large variations in operator performance. Several methods were proposed and developed for accurate segmentation [2-4] such as thresholding, region based, edge based, and clustering methods etc. In this work, thresholding, region growing and proposed method (region growing + active contour) were experimented on two datasets (the first one includes 18 images from a specialized clinic in Vladimir and the second data set of 52 images from a specialized clinic in Riyadh). en_US
dc.language.iso en en_US
dc.publisher Tehnica UTM en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri *
dc.subject brain tumor measurements en_US
dc.subject magnetic resonance images en_US
dc.title Proposed segmentation algorithm for mri brain tumor images en_US
dc.type Article en_US

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