Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/140266
Insulto srities atpažinimo kompiuterinėse tomogramose algoritmų efektyvumo palyginimas
Publication Type (CRIS)
Straipsnis kitoje duomenų bazėje / Article in other database (S4)
Publication Type (eLABa)
Straipsnis kitoje DB / Article in other DB (S3)
Author(s)
| Author | Affiliation |
|---|---|
Gaigalaitė, Virginija | Vilniaus universitetas |
Title
Insulto srities atpažinimo kompiuterinėse tomogramose algoritmų efektyvumo palyginimas
Aleksandras Krylovas, Andrius Ušinskas, Virginija Gaigalaitė
Title in other language
Analysis of methods foe ischemic stroke region recognition on CT slices
Is part of
Lietuvos matematikos rinkinys
Published In
| Year | Volume | Start Page | End Page |
|---|---|---|---|
2005 | 45 | 499 | 503 |
Publisher
Vilnius : Matematikos ir informatikos institutas
Referenced in Database(s)(DBs)
Extent
p. 499-503
Science / Art Area
Gamtos mokslai / Natural Sciences (N)
Field of Science / Art
Matematika / Mathematics (N001)
Medicina / Medicine (M001)
Elektros ir elektronikos inžinerija / Electrical and electronic engineering (T001)
Abstract (en)
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.
Resource Type (COAR)
TextJournalJournal articleResearch article
Language
Lietuvių / Lithuanian (lt)
Country
Lietuva / Lithuania (LT)
File(s)
Owning collection
ISSN (of the container)
0132-2818
eLABa ID
3725881
Access Rights
Atviroji prieiga / Open Access
Creative Commons License