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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPBW34M/3JMNT98
Repositorysid.inpe.br/sibgrapi/2015/06.19.21.01
Last Update2015:06.19.21.01.40 (UTC) brunoggregorio@gmail.com
Metadatasid.inpe.br/sibgrapi/2015/06.19.21.01.40
Metadata Last Update2020:02.19.02.14.03 (UTC) administrator
Citation KeyGregóriodaSilvaCarvFerr:2015:DeLeIn
TitleDetection of leukocytes in intravital video microscopy based on the analysis of Hessian matrix eigenvalues
FormatOn-line
Year2015
Access Date2021, Dec. 07
Number of Files1
Size3040 KiB
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Author1 Gregório da Silva, Bruno César
2 Carvalho-Tavares, Juliana
3 Ferrari, Ricardo José
Affiliation1 Federal University of São Carlos
2 Federal University of Minas Gerais
3 Federal University of São Carlos
EditorPapa, João Paulo
Sander, Pedro Vieira
Marroquim, Ricardo Guerra
Farrell, Ryan
e-Mail Addressbrunoggregorio@gmail.com
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador
DateAug. 26-29, 2015
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2015-06-19 21:01:40 :: brunoggregorio@gmail.com -> administrator ::
2020-02-19 02:14:03 :: administrator -> :: 2015
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Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordsdetection of leukocytes
intravital microscopy
temporal image registration
AbstractDetection of rolling and adhered leukocytes in intravital microscopy image sequences is an important task in studies of leukocyte-endothelial interactions in the microcirculation of living small animals under different inflammatory conditions. This procedure is usually performed by visual assessment of the image sequences. However, despite being tedious and time consuming, this procedure is prone to the inter- and intra-observer variability. In this work, we developed an automated computer system for the detection of leukocytes in intravital video microscopy. First, the video frames were processed by the bilateral filter to reduce noise while preserving sharp edges. Then, a demons-based image registration technique was applied to minimize animal motion. Finally, the detection of leukocytes was performed by local analysis of Hessian matrix eigenvalues. Quantitative and qualitative evaluation of the proposed method were conducted by using 220 video frames obtained from an experimental study performed on the brain microvasculature of mice. The proposed method was compared with the template matching technique using precision, recall and F1-Score measures. For the Hessian-based method, the results of precision, recall and F1-Score were, respectively, equal to 0.81, 0.86, and 0.83. For direct comparison, the results obtained for the template matching technique were 0.86, 0.73 and 0.79.
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data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3JMNT98
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3JMNT98
Languageen
Target Filemanuscript_sibigrapi_2015.pdf
User Groupbrunoggregorio@gmail.com
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Update Permissionnot transferred
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Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPBW34M/3K24PF8
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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