Acquisition of mammogram breast border reference data from non-experts

Author

Chandrasekhar, Ramachandran ; Attikiouzel, Yianni

Author_Institution

Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia

Volume

2

fYear

1999

fDate

36434

Abstract

Automatic segmentation needs validation by expert radiologists, who are few and often very busy. This paper presents an approach to manually acquiring breast border reference data from non-experts using freely available image display and manipulation programs like xv and Gimp. The resulting reference images may then be compared with those from automatic segmentation and the degree of mismatch may be used to quantify the quality of segmentation. Preliminary results show the feasibility of this approach

Keywords

data acquisition; edge detection; image segmentation; mammography; medical image processing; Gimp; automatic segmentation; degree of mismatch; image display programs; mammogram breast border reference data; manipulation programs; nonexperts; reference images; segmentation; xv; Breast; Data engineering; Displays; Electronic mail; Image edge detection; Image segmentation; Information processing; Intelligent systems; Mice; Packaging;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.804307

Filename

804307