bibtype J - Journal Article
ARLID 0466936
utime 20240103213124.5
mtime 20161212235959.9
SCOPUS 85006054255
WOS 000392914600032
DOI 10.1117/1.JBO.21.12.126007
title (primary) (eng) Automatic blood detection in capsule endoscopy video
specification
page_count 9 s.
media_type P
serial
ARLID cav_un_epca*0255934
ISSN 1083-3668
title Journal of Biomedical Optics
volume_id 21
volume 12 (2016)
page_num 1-8
keyword Automatic blood detection
keyword capsule endoscopy video
author (primary)
ARLID cav_un_auth*0283562
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
full_dept Department of Image Processing
name1 Novozámský
name2 Adam
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101087
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
name1 Flusser
name2 Jan
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0339136
name1 Tachecí
name2 I.
country CZ
author
ARLID cav_un_auth*0339137
name1 Sulík
name2 L.
country CZ
author
ARLID cav_un_auth*0014506
name1 Bureš
name2 J.
country CZ
author
ARLID cav_un_auth*0339139
name1 Krejcar
name2 O.
country CZ
source
url http://library.utia.cas.cz/separaty/2016/ZOI/flusser-0466936.pdf
cas_special
project
ARLID cav_un_auth*0314467
project_id GA15-16928S
agency GA ČR
abstract (eng) We propose two automatic methods for detecting bleeding in wireless capsule endoscopy videos of the small intestine. The first one uses solely the color information, whereas the second one incorporates the assumptions about the blood spot shape and size. The original idea is namely the definition of a new color space that provides good separability of blood pixels and intestinal wall. Both methods can be applied either individually or their results can be fused together for the final decision. We evaluate their individual performance and various fusion rules on real data, manually annotated by an endoscopist.
RIV JD
reportyear 2017
num_of_auth 6
mrcbC52 4 A hod 4ah 20231122142102.7
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0265118
mrcbC64 1 Department of Image Processing UTIA-B 10200 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
confidential S
article_num 126007
mrcbC86 2 Article Biochemical Research Methods|Optics|Radiology Nuclear Medicine Medical Imaging
mrcbT16-e BIOCHEMICALRESEARCHMETHODS|OPTICS|RADIOLOGYNUCLEARMEDICINEMEDICALIMAGING
mrcbT16-j 0.685
mrcbT16-s 0.997
mrcbT16-4 Q1
mrcbT16-B 49.572
mrcbT16-D Q3
mrcbT16-E Q2
arlyear 2016
mrcbTft \nSoubory v repozitáři: flusser-0466936.pdf
mrcbU14 85006054255 SCOPUS
mrcbU24 PUBMED
mrcbU34 000392914600032 WOS
mrcbU63 cav_un_epca*0255934 Journal of Biomedical Optics 1083-3668 1560-2281 Roč. 21 č. 12 2016 1 8