bibtype A - Abstract
ARLID 0484822
utime 20240103215353.1
mtime 20180116235959.9
title (primary) (eng) Breast ultrasound examination: 3D-enhanced tool for precise analysis
specification
page_count 1 s.
serial
ARLID cav_un_epca*0485034
title Proceedings of the AIMed 2017
part_title MEDICAL IMAGING & BIOMEDICAL DIAGNOSTICS
publisher
place Laguna Niguel
name AIMed
year 2017
keyword handheld ultrasound
keyword tracking
keyword breast examination
author (primary)
ARLID cav_un_auth*0101209
name1 Šroubek
name2 Filip
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0312355
name1 Bartoš
name2 Michal
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
full_dept Department of Image Processing
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101238
name1 Zitová
name2 Barbara
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0050523
name1 Daneš
name2 J.
country CZ
author
ARLID cav_un_auth*0356584
name1 Lambert
name2 L.
country CZ
author
ARLID cav_un_auth*0017539
name1 Vydra
name2 J.
country CZ
source
url http://library.utia.cas.cz/separaty/2017/ZOI/sroubek-0484822.docx
cas_special
project
ARLID cav_un_auth*0332878
project_id TA04011392
agency GA TA ČR
country CZ
abstract (eng) We have developed a novel tool which improves the breast examination with handheld ultrasound probe and lessens the 3D-2D discrepancy. In real-time it monitors the level of breast coverage during the examination, provides local 3D views of objects of interest, and characterizes these objects by means of BI-RADS-like features useful for tissue classification.
action
ARLID cav_un_auth*0356770
name AIMed - Artificial Intelligence in Medicine 2017
dates 20171211
mrcbC20-s 20171214
place Laguna Niguel
country CA
RIV JD
FORD0 20000
FORD1 20200
FORD2 20206
reportyear 2018
mrcbC52 4 O 4o 20231122142947.9
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0280152
mrcbC61 1
confidential S
arlyear 2017
mrcbTft \nSoubory v repozitáři: 0484822.docx
mrcbU63 cav_un_epca*0485034 Proceedings of the AIMed 2017 MEDICAL IMAGING & BIOMEDICAL DIAGNOSTICS Laguna Niguel AIMed 2017