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 |
|
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 |
|