Automatic Human Body Segmentation Using Mean-Shift Clustering As Assistance in The Hyperthermia Treatment Planning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00159186" target="_blank" >RIV/68407700:21230/09:00159186 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11110/09:4837
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Automatic Human Body Segmentation Using Mean-Shift Clustering As Assistance in The Hyperthermia Treatment Planning
Original language 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 segmentationusing 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Technical Computing Prague 2009
ISBN
978-80-7080-733-0
ISSN
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e-ISSN
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Number of pages
1
Pages from-to
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Publisher name
Humusoft
Place of publication
Praha
Event location
Praha
Event date
Nov 19, 2009
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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