COMPARATIVE STUDY OF DESCRIPTORS FOR MEDICAL IMAGE RETRIEVAL
This paper presents results of comparative analysis of image descriptors in the context of content- based medical image retrieval problem. Experiments are carried out on 11 test databases using 137 different types of descriptors. Image descriptors based on co-occurrence matrices and local binary pat...
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The United Institute of Informatics Problems of the National Academy of Sciences of Belarus
2016-09-01
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Series: | Informatika |
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doaj-a7c3bbe3a5564803b4e64c833c1391462021-07-28T21:07:21ZrusThe United Institute of Informatics Problems of the National Academy of Sciences of Belarus Informatika1816-03012016-09-010351237COMPARATIVE STUDY OF DESCRIPTORS FOR MEDICAL IMAGE RETRIEVALА. А. Dmitruk0Объединенный институт проблем информатики НАН БеларусиThis paper presents results of comparative analysis of image descriptors in the context of content- based medical image retrieval problem. Experiments are carried out on 11 test databases using 137 different types of descriptors. Image descriptors based on co-occurrence matrices and local binary patterns showed the best performance.https://inf.grid.by/jour/article/view/38 |
collection |
DOAJ |
language |
Russian |
format |
Article |
sources |
DOAJ |
author |
А. А. Dmitruk |
spellingShingle |
А. А. Dmitruk COMPARATIVE STUDY OF DESCRIPTORS FOR MEDICAL IMAGE RETRIEVAL Informatika |
author_facet |
А. А. Dmitruk |
author_sort |
А. А. Dmitruk |
title |
COMPARATIVE STUDY OF DESCRIPTORS FOR MEDICAL IMAGE RETRIEVAL |
title_short |
COMPARATIVE STUDY OF DESCRIPTORS FOR MEDICAL IMAGE RETRIEVAL |
title_full |
COMPARATIVE STUDY OF DESCRIPTORS FOR MEDICAL IMAGE RETRIEVAL |
title_fullStr |
COMPARATIVE STUDY OF DESCRIPTORS FOR MEDICAL IMAGE RETRIEVAL |
title_full_unstemmed |
COMPARATIVE STUDY OF DESCRIPTORS FOR MEDICAL IMAGE RETRIEVAL |
title_sort |
comparative study of descriptors for medical image retrieval |
publisher |
The United Institute of Informatics Problems of the National Academy of Sciences of Belarus |
series |
Informatika |
issn |
1816-0301 |
publishDate |
2016-09-01 |
description |
This paper presents results of comparative analysis of image descriptors in the context of content- based medical image retrieval problem. Experiments are carried out on 11 test databases using 137 different types of descriptors. Image descriptors based on co-occurrence matrices and local binary patterns showed the best performance. |
url |
https://inf.grid.by/jour/article/view/38 |
work_keys_str_mv |
AT aadmitruk comparativestudyofdescriptorsformedicalimageretrieval |
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1721263015176699904 |