Texture Analysis of 3D Fluorescence Microscopy Images Using RSurf 3D Features
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F16%3A00087753" target="_blank" >RIV/00216224:14330/16:00087753 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ISBI.2016.7493484" target="_blank" >http://dx.doi.org/10.1109/ISBI.2016.7493484</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISBI.2016.7493484" target="_blank" >10.1109/ISBI.2016.7493484</a>
Alternative languages
Result language
angličtina
Original language name
Texture Analysis of 3D Fluorescence Microscopy Images Using RSurf 3D Features
Original language description
Classification tasks of biomedical images are still interesting topic of research with many possibilities of improvement. A very important part in this task is feature extraction process, where different image descriptors are used. Recently, a new approach of RSurf features was introduced with application in recognition of the 2D HEp-2 cell images. In this work, we present the extension of these features for the 3D volumetric images and demonstrate its superiority in recognition of sub-cellular protein distribution. The performance is tested on public HeLa dataset containing 9 different classes. The presented k-NN classifier based purely on the RSurf 3D features achieves more than 99% accuracy in recognition of the 3D HeLa images.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA14-22461S" target="_blank" >GA14-22461S: Development and Study of Methods for Live Cell Quantification</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Symposium on Biomedical Imaging (ISBI'16)
ISBN
9781479923502
ISSN
1945-7928
e-ISSN
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Number of pages
5
Pages from-to
1212-1216
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos, California
Event location
Praha
Event date
Jan 1, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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