Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/11927
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dc.contributor.authorSustersic, Tijana-
dc.contributor.authorPeulić M.-
dc.contributor.authorFilipovic, Nenad-
dc.contributor.authorPeulic A.-
dc.date.accessioned2021-04-20T19:35:00Z-
dc.date.available2021-04-20T19:35:00Z-
dc.date.issued2015-12-28-
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/11927-
dc.description.abstract© 2015 IEEE. In this paper we present a method for brain tumor segmentation and assess its performance discussing parameters - complexity of initial conditions that need to be set manually, tumor surface area recognition, and computational time. The methodology includes performing segmentation on computerized tomography (CT) medical images from 37 patients. Furthermore, one approach to user friendly two- and three-dimensional tumor visualization is proposed. The results obtained in this paper can be new paradigm in the assessment of optimal approach trajectory to brain tumor in surgical operation.-
dc.relation.ispartof2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015-
dc.titleApplication of active contours method in assessment of optimal approach trajectory to brain tumor-
dc.typeconference paper-
dc.identifier.doi10.1109/BIBE.2015.7367661-
dc.identifier.scopus84962921663-
Appears in Collections:Faculty of Engineering, Kragujevac

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