Pregled bibliografske jedinice broj: 593569
Application of Gabor Filters for Detection of Dense Tissue in Mammograms
Application of Gabor Filters for Detection of Dense Tissue in Mammograms // Proceedings of the 54th International Symposium ELMAR-2012 / Božek, Jelena ; Grgić, Mislav (ur.).
Zagreb: Hrvatsko društvo Elektronika u pomorstvu (ELMAR), 2012. str. 67-70 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 593569 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Application of Gabor Filters for Detection of Dense Tissue in Mammograms
Autori
Muštra, Mario ; Grgić, Mislav ; Božek, Jelena
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 54th International Symposium ELMAR-2012
/ Božek, Jelena ; Grgić, Mislav - Zagreb : Hrvatsko društvo Elektronika u pomorstvu (ELMAR), 2012, 67-70
ISBN
978-953-7044-13-8
Skup
International Symposium ELMAR
Mjesto i datum
Zadar, Hrvatska, 12.09.2012. - 14.09.2012
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
CAD ; Gabor Filter ; Breast Density ; Blood Vessel
Sažetak
Determining breast density in mammograms is important both in diagnostic and computer-aided detection applications. Knowing the right breast density and having knowledge of changes in breast density could give a hint of a process which started to happen in a patient. Mammograms are projection images and suffer from problem of overlapping tissue which results in possibility of inaccurate detection of tissue types. The main problem is the fibroglandular tissue which has rather high attenuation of x-rays and is visible as brighter area in the resulting image. Small blood vessels are usually the most common interfering objects in mammograms. In this paper we try to suppress scattered structures which do not represent glandular or dense tissue in order to divide mammograms more accurately in two major tissue types, fatty and dense tissue. For suppressing blood vessels we have used Gabor filters of different size and orientation to detect edges of blood vessels and subtract them from the original image. Obtained results show much more homogenous areas which could be used for easier discrimination between tissue types.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
MZO-ZP-036-0361630-1635 - Upravljanje kvalitetom slike u radiodifuziji digitalnog videosignala (Grgić, Sonja, MZO ) ( CroRIS)
MZO-ZP-036-0982560-1643 - Inteligentno određivanje značajki slike u sustavima za otkrivanje znanja (Grgić, Mislav, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus