Naslov
A Survey of Image Processing Algorithms in Digital Mammography

Autori
Božek, Jelena ; Muštra, Mario ; Delač, Krešimir ; Grgić, Mislav

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Recent Advances in Multimedia Signal Processing and Communications

Urednik/ci
Grgić, Mislav ; Delač, Krešimir ; Ghanbari, Mohammed

Izdavač
Springer

Grad
Heidelberg

Godina
2009

Raspon stranica
631-657

ISBN
978-3-642-02899-1

Ključne riječi
Mammography, Computer-Aided Detection, Computer-Aided Diagnosis, Breast Abnormalities, Breast Cancer

Sažetak
Mammography is at present the best available technique for early detection of breast cancer. The most common breast abnormalities that may indicate breast cancer are masses and calcifications. In some cases, subtle signs that can also lead to a breast cancer diagnosis, such as architectural distortion and bilateral asymmetry, are present. Breast abnormalities are defined with wide range of features and may be easily missed or misinterpreted by radiologists while reading large amount of mammographic images provided in screening programs. To help radiologists provide an accurate diagnosis, a computer-aided detection (CADe) and computer-aided diagnosis (CADx) algorithms are being developed. CADe and CADx algorithms help reducing the number of false positives and they assist radiologists in deciding between follow up and biopsy. This chapter gives a survey of image processing algorithms that have been developed for detection of masses and calcifications. An overview of algorithms in each step (segmentation step, feature extraction step, feature selection step, classification step) of the mass detection algorithms is given. Wavelet detection methods and other recently proposed methods for calcification detection are presented. An overview of contrast enhancement and noise equalization methods is given as well as an overview of calcification classification algorithms.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

POVEZANOST RADA