Analysis of methods for ischemic stroke region recognition on CT slices
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 an...
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| Format: | Article |
| Language: | English |
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Vilnius University Press
2005-12-01
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| Series: | Lietuvos Matematikos Rinkinys |
| Subjects: | |
| Online Access: | https://www.journals.vu.lt/LMR/article/view/29257 |
| _version_ | 1797194438521389056 |
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| author | Aleksandras Krylovas Andrius Ušinskas Virginija Gaigalaitė |
| author_facet | Aleksandras Krylovas Andrius Ušinskas Virginija Gaigalaitė |
| author_sort | Aleksandras Krylovas |
| collection | DOAJ |
| description |
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.
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| first_indexed | 2024-03-07T15:40:14Z |
| format | Article |
| id | doaj.art-08a06f535bde4459a64d898afbed620a |
| institution | Directory Open Access Journal |
| issn | 0132-2818 2335-898X |
| language | English |
| last_indexed | 2024-04-24T05:56:17Z |
| publishDate | 2005-12-01 |
| publisher | Vilnius University Press |
| record_format | Article |
| series | Lietuvos Matematikos Rinkinys |
| spelling | doaj.art-08a06f535bde4459a64d898afbed620a2024-04-23T09:01:22ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2005-12-0145spec.10.15388/LMR.2005.29257Analysis of methods for ischemic stroke region recognition on CT slicesAleksandras Krylovas0Andrius Ušinskas1Virginija Gaigalaitė2Vilnius Gediminas Technical University Vilnius Gediminas Technical University Vilnius University 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. https://www.journals.vu.lt/LMR/article/view/29257fuzzy setspattern recognitionevaluation methods |
| spellingShingle | Aleksandras Krylovas Andrius Ušinskas Virginija Gaigalaitė Analysis of methods for ischemic stroke region recognition on CT slices Lietuvos Matematikos Rinkinys fuzzy sets pattern recognition evaluation methods |
| title | Analysis of methods for ischemic stroke region recognition on CT slices |
| title_full | Analysis of methods for ischemic stroke region recognition on CT slices |
| title_fullStr | Analysis of methods for ischemic stroke region recognition on CT slices |
| title_full_unstemmed | Analysis of methods for ischemic stroke region recognition on CT slices |
| title_short | Analysis of methods for ischemic stroke region recognition on CT slices |
| title_sort | analysis of methods for ischemic stroke region recognition on ct slices |
| topic | fuzzy sets pattern recognition evaluation methods |
| url | https://www.journals.vu.lt/LMR/article/view/29257 |
| work_keys_str_mv | AT aleksandraskrylovas analysisofmethodsforischemicstrokeregionrecognitiononctslices AT andriususinskas analysisofmethodsforischemicstrokeregionrecognitiononctslices AT virginijagaigalaite analysisofmethodsforischemicstrokeregionrecognitiononctslices |