| bibtype |
A -
Abstract
|
| ARLID |
0396304 |
| utime |
20240103202954.4 |
| mtime |
20130926235959.9 |
| title
(primary) (eng) |
Computer-Assisted Evaluation of Videokymographic Data |
| specification |
| page_count |
1 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0393966 |
| ISSN |
1805-8698 |
| title
|
International Journal on Biomedicine and Healthcare |
| volume_id |
1 |
| volume |
1 (2013) |
| page_num |
49-49 |
|
| keyword |
videokymography |
| keyword |
image processing |
| keyword |
computerassisted evaluation |
| author
(primary) |
| ARLID |
cav_un_auth*0283562 |
| name1 |
Novozámský |
| name2 |
Adam |
| 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*0239988 |
| name1 |
Sedlář |
| name2 |
Jiří |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0294185 |
| name1 |
Zita |
| name2 |
A. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0018322 |
| name1 |
Švec |
| name2 |
J. G. |
| country |
CZ |
|
| 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*0101087 |
| name1 |
Flusser |
| name2 |
Jan |
| 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*0277479 |
| name1 |
Hauzar |
| name2 |
D. |
| country |
CZ |
|
| source |
|
| cas_special |
| abstract
(eng) |
Videokymography is a novel medical imaging method used in laryngology and phoniatrics for observation and diagnosis of vocal fold vibrations. The amount and the quality of the data hamper manual feature extraction. A computer-assisted extraction could facilitate the diagnostic process. The proposed solution offers a software tool for data enhancement and extraction of typical characteristics of vocal folds vibrations designed by experts. The proposed methodology is based on digital image processing methods, namely image denoising, image segmentation, and object detection. Such approach enables to reflect specific features of videokymographic images and extracted vocal fold parameters. We have tested the proposed solutions on a representative set of videokymographic data. The comparison of the achieved results with the visually detected features proved the method applicability. The algorithms were implemented into the VKFD (videokymography feature detection) software. |
| action |
| ARLID |
cav_un_auth*0293266 |
| name |
EFMI STC Prague Data and Knowledge for Medical Decision Support |
| place |
Praha |
| dates |
17.04.2013-19.04.2013 |
| country |
CZ |
|
| reportyear |
2014 |
| RIV |
JD |
| num_of_auth |
7 |
| mrcbC52 |
4 O 4o 20231122135811.5 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0224132 |
| arlyear |
2013 |
| mrcbTft |
\nSoubory v repozitáři: 0396304.pdf |
| mrcbU63 |
cav_un_epca*0393966 International Journal on Biomedicine and Healthcare 1805-8698 Roč. 1 č. 1 2013 49 49 |
|