| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0454449 |
| utime |
20240103211644.6 |
| mtime |
20160215235959.9 |
| SCOPUS |
84962799507 |
| WOS |
000380431200025 |
| DOI |
10.1109/IWCIM.2015.7347085 |
| title
(primary) (eng) |
Classification of breast density in X-ray mammography |
| specification |
| page_count |
5 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0454448 |
| ISBN |
978-1-4673-8457-5 |
| title
|
2015 International Workshop on Computational Intelligence for Multimedia Understanding |
| page_num |
1-5 |
| publisher |
| place |
New York, NY, |
| name |
IEEE |
| year |
2015 |
|
|
| keyword |
Breast cancer |
| keyword |
breast density |
| keyword |
Mammography |
| keyword |
MRF |
| keyword |
ACR |
| keyword |
BI-RADS |
| author
(primary) |
| ARLID |
cav_un_auth*0286710 |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept (eng) |
Department of Pattern Recognition |
| department (cz) |
RO |
| department (eng) |
RO |
| full_dept |
Department of Pattern Recognition |
| name1 |
Remeš |
| name2 |
Václav |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101093 |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| full_dept |
Department of Pattern Recognition |
| name1 |
Haindl |
| name2 |
Michal |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0303439 |
| project_id |
GA14-10911S |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
Breast density is an important cue to detect both the presence of suspicious cancerous masses and to predict future possibility for cancer development. A fast breast density classification method is presented and successfully tested on two state-of-the-art mammogram databases. The X-ray digital mammogram tissue texture is locally represented by the two-dimensional adaptive causal autoregressive spatial model and its parameters are used as the classification features. |
| action |
| ARLID |
cav_un_auth*0325650 |
| name |
IWCIM 2015 International Workshop on Computational Intelligence for Multimedia Understanding |
| dates |
29.10.2015-30.10.2015 |
| place |
Praha |
| country |
CZ |
|
| RIV |
BD |
| reportyear |
2016 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0257087 |
| confidential |
S |
| arlyear |
2015 |
| mrcbU14 |
84962799507 SCOPUS |
| mrcbU34 |
000380431200025 WOS |
| mrcbU63 |
cav_un_epca*0454448 2015 International Workshop on Computational Intelligence for Multimedia Understanding 978-1-4673-8457-5 1 5 New York, NY, IEEE 2015 |
|