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dc.contributor.authorUsinskas, Andrius-
dc.contributor.authorPranckeviciene, Erinija-
dc.contributor.authorWittenberg, Thomas-
dc.contributor.authorHastreiter, Peter-
dc.contributor.authorTomandl, Bernd F-
dc.description.abstractSeven different methods aiming at automatic segmentation of human brain ischemic area in the computerized tomography scans are compared. The novel technique, based on the biologically inspired artificial neural networks architecture, is applied for the brain ischemic stroke recognition. The segmentation techniques were evaluated by the experts radiologists. The best viability showed Histogram, Gray level co-occurrence matrix, Mean and standard deviation methods, and Supervised Artificial Neural Networks techniquesen
dc.description.sponsorshipKauno technologijos universitetas-
dc.description.sponsorshipVilniaus Gedimino technikos universitetas-
dc.format.extentp. 498-503-
dc.relation.ispartofAdvances in soft computing : neural networks and soft computing : proceedings of the Sixth International Conference on Neural Network and Soft Computing, Zakopane, Poland, June 11-15, 2002. Heidelberg : Physica-Verlag, 2003-
dc.relation.isreferencedbyConference Proceedings Citation Index - Science (Web of Science)-
dc.subject.classificationStraipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)-
dc.subject.otherInformatika / Informatics (N009)-
dc.titleAutomatic ischemic stroke segmentation using various techniquesen
dc.typeresearch article-
local.object{"source": {"code": "vdu", "handle": "59051"}, "publisher": {"other": ["Physica-Verlag"], "list": false}, "db": {"clarivate": false, "scopus": false, "list": true}, "isbn": ["3790800058"], "code": "P1a", "subject": ["N009"], "country": "DE", "language": "en", "area": "N", "original": true, "pages": 6, "sheets": 0.429, "timestamp": "20210810141917.0", "account": {"year": 2002, "late": false}, "na": 5, "nip": 2, "affiliation": [{"contribution": 0.2, "aip": 1, "country": ["LT"], "rel": "aut", "org": [{"create": false, "contribution": 0.2, "name": "Vilniaus Gedimino technikos universitetas", "id": "111950243"}], "lname": "Usinskas", "fname": "Andrius", "status": "0", "name": "Usinskas, Andrius"}, {"contribution": 0.2, "aip": 1, "country": ["LT"], "rel": "aut", "org": [{"create": false, "contribution": 0.2, "name": "Kauno technologijos universitetas", "id": "111950581"}], "id": "966FA44B81AF0D41D7120A0CC489E353", "lname": "Pranckevičienė", "fname": "Erinija", "status": "1", "name": "Pranckeviciene, Erinija"}, {"contribution": 0.2, "aip": 1, "country": ["DE"], "rel": "aut", "lname": "Wittenberg", "fname": "Thomas", "status": "0", "name": "Wittenberg, Thomas"}, {"contribution": 0.2, "aip": 1, "country": ["DE"], "rel": "aut", "lname": "Hastreiter", "fname": "Peter", "status": "0", "name": "Hastreiter, Peter"}, {"contribution": 0.2, "aip": 1, "country": ["DE"], "rel": "aut", "lname": "Tomandl", "fname": "Bernd F", "status": "0", "name": "Tomandl, Bernd F"}]}-
item.fulltextNo Fulltext-
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