Using Bayesian surprise to detect calcifications in mammogram images

• Type: Article in International Conference Proceedings Book
• Date: 2014

Authors

Ines Domingues (Author) Other; Jaime S Cardoso (Author) FEUP

Conference proceedings International

Title: 2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)

Pages: 1091-1094

36th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

Chicago, IL, AUG 26-30, 2014

Indexing

ISI Web of Knowledge - 6 Citations

Scopus - 9 Citations

Scientific classification

FOS: Engineering and technology > Environmental biotechnology

Other information

Authenticus ID: P-00A-AQ1

DOI: 10.1109/embc.2014.6943784

Abstract (EN): Breast Cancer is still a serious health threat to women, both physically and psychologically. Fortunately, treatments involving complete breast removal are rarely needed today, as better treatment options are available. Mammography can show changes in the breast up to two years before a physician can feel them. Computer-aided detection and diagnosis is considered to be one of the most promising approaches that may improve the efficiency of mammography. Furthermore, there is a strong correlation between the presence of calcifications and the occurrence of breast cancer. In this paper we present a new technique to detect calcifications in mammogram images. The main objective is to support radiologists with automatic detection methods applied to medical images. Motivated by the fact that calcifications, when compared to the rest of the image, exhibit irregular characteristics, a technique based on Bayesian surprise is used. Tests were performed using INBreast, a recent fully annotated database, composed of full field digital mammograms. Comparison both with a recently proposed state of the art method and other common image techniques showed the superiority of our method. False positives are, however, still an issue and further studies focused on their reduction while maintaining a high sensitivity are planned.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4