SVOBODA, David, Ondřej HOMOLA and Stanislav STEJSKAL. Generation of 3D Digital Phantoms of Colon Tissue. In M. Kamel and A. Campilho. Proceedings of 8th International Conference on Image Analysis and Recognition. LNCS 6754, Part II. Berlin, Heidelberg: Springer-Verlag. p. 31-39. ISBN 978-3-642-21595-7. doi:10.1007/978-3-642-21596-4_4. 2011.
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Basic information
Original name Generation of 3D Digital Phantoms of Colon Tissue
Authors SVOBODA, David (203 Czech Republic, guarantor, belonging to the institution), Ondřej HOMOLA (203 Czech Republic, belonging to the institution) and Stanislav STEJSKAL (203 Czech Republic, belonging to the institution).
Edition LNCS 6754, Part II. Berlin, Heidelberg, Proceedings of 8th International Conference on Image Analysis and Recognition, p. 31-39, 9 pp. 2011.
Publisher Springer-Verlag
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 20200 2.2 Electrical engineering, Electronic engineering, Information engineering
Country of publisher Canada
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/11:00067276
Organization unit Faculty of Informatics
ISBN 978-3-642-21595-7
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-642-21596-4_4
UT WoS 000300562000004
Keywords in English Digital phantom; Colon tissue; Simulation; Haralick texture features
Tags cbia-web
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 30/4/2014 04:00.
Abstract
Although segmentation of biomedical image data has been paid a lot of attention for many years, this crucial task still meets the problem of the correctness of the obtained results. Especially in the case of optical microscopy, the ground truth (GT), which is a very important tool for the validation of image processing algorithms, is not available. We have developed a toolkit that generates fully 3D digital phantoms, that represent the structure of the studied biological objects. While former papers concentrated on the modelling of isolated cells (such as blood cells), this work focuses on a representative of tissue image type, namely human colon tissue. This phantom image can be submitted to the engine that simulates the image acquisition process. Such synthetic image can be further processed, e.g. deconvolved or segmented. The results can be compared with the GT derived from the digital phantom and the quality of the applied algorithm can be measured.
Links
LC535, research and development projectName: Dynamika a organizace chromosomů během buněčného cyklu v normě a patologii
Investor: Ministry of Education, Youth and Sports of the CR, Dynamika a organizace chromosomů během buněčného cyklu v normě a patologii
2B06052, research and development projectName: Vytipování markerů, screening a časná diagnostika nádorových onemocnění pomocí vysoce automatizovaného zpracování multidimenzionálních biomedicínských obrazů (Acronym: Biomarker)
Investor: Ministry of Education, Youth and Sports of the CR, Determination of markers, screening and early diagnostics of cancer diseases using highly automated processing of multidimensional biomedical images
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