This HTML5 document contains 46 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n11http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n17http://localhost/temp/predkladatel/
n16http://purl.org/net/nknouf/ns/bibtex#
n5http://linked.opendata.cz/resource/domain/vavai/projekt/
n4http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n7http://linked.opendata.cz/ontology/domain/vavai/
n22https://schema.org/
n18http://linked.opendata.cz/resource/domain/vavai/zamer/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n9http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F68407700%3A21230%2F09%3A00159186%21RIV10-MSM-21230___/
n14http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n15http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n20http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n12http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n21http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n19http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n8http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F09%3A00159186%21RIV10-MSM-21230___
rdf:type
n7:Vysledek skos:Concept
dcterms:description
The article deals the human body segmentation technique which supports hyperthermia oncology treatment planning. According to the inner structure of the tumor the applicator needs to be placed in the right direction. We used the automatical segmentation using mean-shift clustering algorithm in comparison with the segmented image data evaluated by the medical expert. The data was obtained with the commercial segmentation software 3D-DOCTOR. The quality of the segmentation can be essential for not only for treatment planning but can also provide the feedback in clinician decision making. The article deals the human body segmentation technique which supports hyperthermia oncology treatment planning. According to the inner structure of the tumor the applicator needs to be placed in the right direction. We used the automatical segmentation using mean-shift clustering algorithm in comparison with the segmented image data evaluated by the medical expert. The data was obtained with the commercial segmentation software 3D-DOCTOR. The quality of the segmentation can be essential for not only for treatment planning but can also provide the feedback in clinician decision making.
dcterms:title
Automatic Human Body Segmentation Using Mean-Shift Clustering As Assistance in The Hyperthermia Treatment Planning Automatic Human Body Segmentation Using Mean-Shift Clustering As Assistance in The Hyperthermia Treatment Planning
skos:prefLabel
Automatic Human Body Segmentation Using Mean-Shift Clustering As Assistance in The Hyperthermia Treatment Planning Automatic Human Body Segmentation Using Mean-Shift Clustering As Assistance in The Hyperthermia Treatment Planning
skos:notation
RIV/68407700:21230/09:00159186!RIV10-MSM-21230___
n3:aktivita
n12:P n12:Z
n3:aktivity
P(2C06031), P(GD102/08/H008), P(GD102/08/H081), Z(MSM0021620806), Z(MSM6840770012)
n3:dodaniDat
n8:2010
n3:domaciTvurceVysledku
n4:5824222 n4:3963012
n3:druhVysledku
n21:D
n3:duvernostUdaju
n15:S
n3:entitaPredkladatele
n9:predkladatel
n3:idSjednocenehoVysledku
304475
n3:idVysledku
RIV/68407700:21230/09:00159186
n3:jazykVysledku
n20:eng
n3:klicovaSlova
MRI segmentation; mean-shift algorithm; medical expert evaluation.
n3:klicoveSlovo
n14:MRI%20segmentation n14:medical%20expert%20evaluation. n14:mean-shift%20algorithm
n3:kontrolniKodProRIV
[130798DCD48A]
n3:mistoKonaniAkce
Praha
n3:mistoVydani
Praha
n3:nazevZdroje
Technical Computing Prague 2009
n3:obor
n19:JA
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n5:2C06031 n5:GD102%2F08%2FH081 n5:GD102%2F08%2FH008
n3:rokUplatneniVysledku
n8:2009
n3:tvurceVysledku
Vorlíček, Jaroslav Rusz, Jan
n3:typAkce
n11:EUR
n3:zahajeniAkce
2009-11-19+01:00
n3:zamer
n18:MSM6840770012 n18:MSM0021620806
s:numberOfPages
1
n16:hasPublisher
Humusoft
n22:isbn
978-80-7080-733-0
n17:organizacniJednotka
21230