dc.contributor.author | Krylovas, Aleksandras | |
dc.contributor.author | Ušinskas, Andrius | |
dc.contributor.author | Gaigalaitė, Virginija | |
dc.date.accessioned | 2023-09-18T19:32:35Z | |
dc.date.available | 2023-09-18T19:32:35Z | |
dc.date.issued | 2005 | |
dc.identifier.issn | 0132-2818 | |
dc.identifier.other | (BIS)VGT02-000011716 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/140266 | |
dc.description.abstract | There 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.extent | p. 499-503 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | lit | |
dc.relation.isreferencedby | CIS: Current Index to Statistics | |
dc.relation.isreferencedby | Zentralblatt MATH (zbMATH) | |
dc.relation.isreferencedby | VINITI | |
dc.relation.isreferencedby | MathSciNet | |
dc.title | Insulto srities atpažinimo kompiuterinėse tomogramose algoritmų efektyvumo palyginimas | |
dc.title.alternative | Analysis of methods foe ischemic stroke region recognition on CT slices | |
dc.type | Straipsnis kitoje DB / Article in other DB | |
dcterms.references | 6 | |
dc.type.pubtype | S3 - Straipsnis kitoje DB / Article in other DB | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | Vilniaus universitetas | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.contributor.faculty | Elektronikos fakultetas / Faculty of Electronics | |
dc.subject.researchfield | N 001 - Matematika / Mathematics | |
dc.subject.researchfield | M 001 - Medicina / Medicine | |
dc.subject.researchfield | T 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering | |
dc.subject.en | Fuzzy sets | |
dc.subject.en | Pattern recognition | |
dc.subject.en | Evaluation methods | |
dcterms.sourcetitle | Lietuvos matematikos rinkinys | |
dc.description.issue | spec, nr | |
dc.description.volume | T. 45 | |
dc.publisher.name | Matematikos ir informatikos institutas | |
dc.publisher.city | Vilnius | |
dc.identifier.doi | MRU02-000016788 | |
dc.identifier.doi | VUB02-000022693 | |
dc.identifier.elaba | 3725881 | |