| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0568366 |
| utime |
20240402213615.8 |
| mtime |
20230210235959.9 |
| DOI |
10.2352/EI.2023.35.9.IPAS-300 |
| title
(primary) (eng) |
Automatic Estimation of Mucosal Waves Lateral Peak Sharpness – Modern Approach |
| specification |
| page_count |
5 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0568365 |
| ISSN |
1017-9909 |
| title
|
IS&T International Symposium on Electronic Imaging 2023 Image Processing: Algorithms and Systems XXI |
| publisher |
| place |
Springfield |
| name |
Society for Imaging Science and Technology |
| year |
2023 |
|
|
| keyword |
VKG |
| keyword |
Deep Learning |
| keyword |
Mucosal Wave |
| keyword |
Larynx |
| keyword |
Vocal Fold |
| keyword |
Videokymography |
| keyword |
Machine Learning |
| author
(primary) |
| ARLID |
cav_un_auth*0293261 |
| name1 |
Zita |
| name2 |
Aleš |
| institution |
UTIA-B |
| 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 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0380013 |
| name1 |
Greško |
| name2 |
Šimon |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0283562 |
| name1 |
Novozámský |
| name2 |
Adam |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| garant |
K |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0108377 |
| name1 |
Šorel |
| name2 |
Michal |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101238 |
| name1 |
Zitová |
| name2 |
Barbara |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0018322 |
| name1 |
Švec |
| name2 |
J. G. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0322230 |
| name1 |
Vydrová |
| name2 |
J. |
| country |
CZ |
|
| source |
|
| cas_special |
| project |
| project_id |
TH04010422 |
| agency |
GA TA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0385138 |
|
| project |
| project_id |
GA21-03921S |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0412209 |
|
| abstract
(eng) |
Videokymographic (VKG) images of the human larynx are often used for automatic vibratory feature extraction for diagnostic purposes. One of the most challenging parameters to evaluate is the presence of mucosal waves and their lateral peaks' sharpness. Although these features can be clinically helpful and give an insight into the health and pliability of vocal fold mucosa, the identification and visual estimation of the sharpness can be challenging for human examiners and even more so for an automatic process. This work aims to create and validate a new method that can automatically quantify the lateral peak sharpness from the VKG images using a convolutional neural network. |
| action |
| ARLID |
cav_un_auth*0445077 |
| name |
IS&T International Symposium on Electronic Imaging 2023 |
| dates |
20230115 |
| mrcbC20-s |
20230119 |
| place |
San Francisco |
| country |
US |
|
| RIV |
JC |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20206 |
| reportyear |
2024 |
| num_of_auth |
7 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0340752 |
| cooperation |
| ARLID |
cav_un_auth*0420485 |
| name |
Voice Research Laboratory, Department of Experimental Physics, Faculty of Science, Palacky University Olomouc |
| country |
CZ |
|
| cooperation |
| ARLID |
cav_un_auth*0357460 |
| name |
Medical Healthcom spol.s r.o. |
| institution |
MH |
|
| confidential |
S |
| article_num |
300 |
| mrcbT16-e |
ENGINEERINGELECTRICALELECTRONIC|IMAGINGSCIENCEPHOTOGRAPHICTECHNOLOGY|OPTICS |
| mrcbT16-j |
0.169 |
| mrcbT16-D |
Q4 |
| arlyear |
2023 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0568365 IS&T International Symposium on Electronic Imaging 2023 Image Processing: Algorithms and Systems XXI 1017-9909 1560-229X Springfield Society for Imaging Science and Technology 2023 35 |
|