Pregled bibliografske jedinice broj: 368900
Mammographic Image Analysis - Directions for Future Research during PhD Study
Mammographic Image Analysis - Directions for Future Research during PhD Study // Book of Abstracts - KDSA 2008, Workshop on Knowledge Discovery in Scientific Applications / Gamberger, Dragan (ur.).
Zagreb: Institut Ruđer Bošković, 2008. (predavanje, nije recenziran, sažetak, znanstveni)
CROSBI ID: 368900 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Mammographic Image Analysis - Directions for Future Research during PhD Study
Autori
Božek, Jelena
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Book of Abstracts - KDSA 2008, Workshop on Knowledge Discovery in Scientific Applications
/ Gamberger, Dragan - Zagreb : Institut Ruđer Bošković, 2008
Skup
KDSA 2008, Workshop on Knowledge Discovery in Scientific Applications
Mjesto i datum
Poreč, Hrvatska, 17.10.2008. - 19.10.2008
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Nije recenziran
Ključne riječi
Mammography; Breast Cancer; BI-RADS; Computer-Aided Detection; Computer-Aided Diagnosis; Wavelet Transform
Sažetak
Mammography is the best available examination for the detection of early signs of breast cancer such as masses, calcifications, bilateral asymmetry and architectural distortion. Standardized method BI-RADS for breast imaging reporting includes terms to describe breast lesions and their features. Wide range of features that define abnormalities and the fact that they are often indistinguishable from the surrounding tissue makes the computer-aided detection and diagnosis of breast abnormalities a challenge. The relevant mass and calcification features are variability, occurrence at different scales and orientations, and characterization by discontinuous changes in intensity, as well as more subtle global variations in texture. Using the wavelet transform, it is possible to detect details that appear at different scales and selectively enhance them within different resolution levels. The same core algorithm could be used for both calcifications and mass detection. Directions for future research during PhD study in the field of mammographic image analysis and possible use of wavelets will be presented.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
036-0982560-1643 - Inteligentno određivanje značajki slike u sustavima za otkrivanje znanja (Grgić, Mislav, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Jelena Božek
(autor)