About: A Comparison of Fast Level Set-Like Algorithms for Image Segmentation in Fluorescence Microscopy

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Image segmentation, one of the fundamental task of image processing, can be accurately solved using the level set framework. However, the computational time demands of the level set methods make them practically useless, especially for segmentation of large threedimensional images. Many approximations have been introduced in recent years to speed up the computation of the level set methods. Although these algorithms provide favourable results, most of them were not properly tested against ground truth images. In this paper we present a comparison of three methods: the Sparse-Field method [1], Deng and Tsui's algorithm [2] and Nilsson and Heyden's algorithm [3]. Our main motivation was to compare these methods on 3D image data acquired using fluorescence microscope, but we suppose that presented results are also valid and applicable to other biomedical images like CT scans, MRI or ultrasound images. Image segmentation, one of the fundamental task of image processing, can be accurately solved using the level set framework. However, the computational time demands of the level set methods make them practically useless, especially for segmentation of large threedimensional images. Many approximations have been introduced in recent years to speed up the computation of the level set methods. Although these algorithms provide favourable results, most of them were not properly tested against ground truth images. In this paper we present a comparison of three methods: the Sparse-Field method [1], Deng and Tsui's algorithm [2] and Nilsson and Heyden's algorithm [3]. Our main motivation was to compare these methods on 3D image data acquired using fluorescence microscope, but we suppose that presented results are also valid and applicable to other biomedical images like CT scans, MRI or ultrasound images. (en)
Title	A Comparison of Fast Level Set-Like Algorithms for Image Segmentation in Fluorescence Microscopy A Comparison of Fast Level Set-Like Algorithms for Image Segmentation in Fluorescence Microscopy (en)
skos:prefLabel	A Comparison of Fast Level Set-Like Algorithms for Image Segmentation in Fluorescence Microscopy A Comparison of Fast Level Set-Like Algorithms for Image Segmentation in Fluorescence Microscopy (en)
skos:notation	RIV/00216224:14330/07:00022769!RIV10-MSM-14330___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(2B06052), P(LC535), Z(MSM0021622419)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Kozubek, Michal Maška, Martin Svoboda, David Hubený, Jan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Fakulta informatiky
http://linked.open...dnocenehoVysledku	407822
http://linked.open...ai/riv/idVysledku	RIV/00216224:14330/07:00022769
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	image segmentation; level set method; active contours (en)
http://linked.open.../riv/klicoveSlovo	active contours image segmentation level set method
http://linked.open...ontrolniKodProRIV	[2AE7553E9EDA]
http://linked.open...v/mistoKonaniAkce	Lake Tahoe, Nevada/California
http://linked.open...i/riv/mistoVydani	Berlin, Heidelberg
http://linked.open...i/riv/nazevZdroje	3rd International Symposium on Visual Computing
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Determination of markers, screening and early diagnostics of cancer diseases using highly automated processing of multidimensional biomedical images Chromosome dynamics and organization during the cell cycle in normal and pathologic conditions
http://linked.open...UplatneniVysledku	2007
http://linked.open...iv/tvurceVysledku	Maška, Martin Svoboda, David Hubený, Jan Kozubek, Michal
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000251785200056
http://linked.open.../riv/zahajeniAkce	2007-11-26 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Highly Parallel and Distributed Computing Systems
number of pages	11 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-540-76855-5
http://localhost/t...ganizacniJednotka	14330

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