bibtype A - Abstract
ARLID 0092551
utime 20240103185028.4
mtime 20071218235959.9
title (primary) (eng) Nuclear Medicine, Treatment of Thyroid Cancer and Mathematical Modelling
specification
page_count 1 s.
serial
title 3rd International Workshop on Data - Algorithms - Decision Making
page_num 10-10
publisher
place Praha
name ÚTIA AV ČR
year 2007
editor
name1 Janžura
name2 M.
editor
name1 Ivánek
name2 J.
title (cze) Nukleární medicína léčba rakoviny štítné žlázy a matematické modelování
keyword data processing
keyword uncertain data
keyword noisy data
keyword Bayesian methodology
keyword recommendation for therapy
keyword absorbed dose
keyword probabilistic estimation
author (primary)
ARLID cav_un_auth*0101119
name1 Jirsa
name2 Ladislav
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0202818
name1 Varga
name2 F.
country CZ
cas_special
project
project_id 1M0572
agency GA MŠk
country CZ
ARLID cav_un_auth*0001814
project
project_id 1ET100750404
agency GA AV ČR
country CZ
ARLID cav_un_auth*0001793
research CEZ:AV0Z10750506
abstract (eng) Nuclear medicine operates with open sources od ionizing radiation. Practically, a chemical substance with a radioactive element is applied into human organism. Radioactive atom has the same chemical properties as a stable atom, except its nucleus is unstable, i.e. it undertakes, with some probability, a structural change accompanied by emission of ionizing particles. Nuclear medicine takes advantage of selective accumulation of a particular element/molecule in a particular organ. Radiation emitted by the accumulating area can be either detected and processed for diagnostic imaging or used for radiodestruction of the target tissue. Radioactive iodine, accumulated in thyroid, is used in diagnostics and therapy of thyroid diseases.
abstract (cze) V příspěvku je přiblížena oblast nukleární medicíny se zaměřením na léčbu karcinomu štítné žlázy. Vzhledem k pravděpodobnostní povaze měřených dat a expertní znalosti lékařů lze s úspěchem použít bayesovskou metodiku. Jako příklad je uvedeno řešení 3 úloh různého stupně složitosti: odhadování aktivity, odhadování absorbované dávky a doporučení individuální terapeutické aktivity pro konkrétního pacienta.
action
ARLID cav_un_auth*0234564
name 3rd International Workshop on Data - Algorithms - Decision Making
place Liblice
dates 9.12.2007-11.12.2007
country CZ
reportyear 2008
RIV BB
permalink http://hdl.handle.net/11104/0152839
arlyear 2007
mrcbU63 3rd International Workshop on Data - Algorithms - Decision Making 10 10 3rd International Workshop on Data - Algorithms - Decision Making Praha ÚTIA AV ČR 2007
mrcbU67 Janžura M. 340
mrcbU67 Ivánek J. 340