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dc.contributor.authorKrylovas, Aleksandras
dc.contributor.authorUšinskas, Andrius
dc.contributor.authorGaigalaitė, Virginija
dc.date.accessioned2023-09-18T19:32:35Z
dc.date.available2023-09-18T19:32:35Z
dc.date.issued2005
dc.identifier.issn0132-2818
dc.identifier.other(BIS)VGT02-000011716
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/140266
dc.description.abstractThere are developed several computer aided methods for recognition of ischemic stroke region on CT slices at this time. This paper discuss about evaluation of such recognition methods with the help of human experts. Presented evaluation is completed by using an algorithm of fuzzy sets. Performed analysis of 20 methods with modifications showed, that gray level co-occurrence matrix method and hybrid method give highest rates. In addition, the evaluations of the same images by human experts are not uniform. More complex geometrical evaluation methods must be used for archiving of the better accuracy.eng
dc.format.extentp. 499-503
dc.format.mediumtekstas / txt
dc.language.isolit
dc.relation.isreferencedbyCIS: Current Index to Statistics
dc.relation.isreferencedbyZentralblatt MATH (zbMATH)
dc.relation.isreferencedbyVINITI
dc.relation.isreferencedbyMathSciNet
dc.titleInsulto srities atpažinimo kompiuterinėse tomogramose algoritmų efektyvumo palyginimas
dc.title.alternativeAnalysis of methods foe ischemic stroke region recognition on CT slices
dc.typeStraipsnis kitoje DB / Article in other DB
dcterms.references6
dc.type.pubtypeS3 - Straipsnis kitoje DB / Article in other DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionVilniaus universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.contributor.facultyElektronikos fakultetas / Faculty of Electronics
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.researchfieldM 001 - Medicina / Medicine
dc.subject.researchfieldT 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering
dc.subject.enFuzzy sets
dc.subject.enPattern recognition
dc.subject.enEvaluation methods
dcterms.sourcetitleLietuvos matematikos rinkinys
dc.description.issuespec, nr
dc.description.volumeT. 45
dc.publisher.nameMatematikos ir informatikos institutas
dc.publisher.cityVilnius
dc.identifier.doiMRU02-000016788
dc.identifier.doiVUB02-000022693
dc.identifier.elaba3725881


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