| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0365674 |
| utime |
20240111140801.8 |
| mtime |
20111031235959.9 |
| title
(primary) (eng) |
Image Processing for Automated Analysis of the Fluorescence In-Situ Hybridization (FISH) Microscopic Images |
| specification |
| page_count |
12 s. |
| media_type |
www |
|
| serial |
| ARLID |
cav_un_epca*0365673 |
| ISBN |
978-3-642-24081-2 |
| title
|
Convergence and Hybrid Information Technology |
| part_title |
Lecture Notes in Computer Science |
| page_num |
622-633 |
| publisher |
| place |
Berlin Heidelberg |
| name |
Springer-Verlag |
| year |
2011 |
|
|
| keyword |
fluorescence in-situ hybridization |
| keyword |
image processing |
| keyword |
image segmentation |
| author
(primary) |
| ARLID |
cav_un_auth*0101190 |
| name1 |
Schier |
| name2 |
Jan |
| 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*0101136 |
| name1 |
Kovář |
| name2 |
Bohumil |
| 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*0275271 |
| name1 |
Kočárek |
| name2 |
E. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0218430 |
| name1 |
Kuneš |
| 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 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
TA01010931 |
| agency |
GA TA ČR |
| ARLID |
cav_un_auth*0272418 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
The paper describes automated segmentation and analysis of the microscopic images resulting from fluorescence in-situ hybridization (FISH) analysis. FISH is a popular molecular cytogenetic method. The output of a single FISH analysis is a set of several tens or hundreds microscopic images. The goal of an automated evaluation is to replace the subjective evaluation of images by the laboratory technician to achieve higher uniformity of results. Following explanation of the principle of the method and the typical contents of images, the processing flow of image segmentation is outlined and the results are presented on several example images. |
| action |
| ARLID |
cav_un_auth*0275272 |
| name |
5th International Conference, ICHIT 2011 |
| place |
Daejeon |
| dates |
22.09.2011-24.09.2011 |
| country |
KR |
|
| reportyear |
2012 |
| RIV |
IN |
| permalink |
http://hdl.handle.net/11104/0200859 |
| arlyear |
2011 |
| mrcbU56 |
PDF |
| mrcbU63 |
cav_un_epca*0365673 Convergence and Hybrid Information Technology 978-3-642-24081-2 622 633 Berlin Heidelberg Springer-Verlag 2011 Lecture Notes in Computer Science |
|