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Acquisition of mammogram breast border reference data from non-experts

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2 Author(s)
Chandrasekhar, R.A. ; Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia ; Attikiouzel, Y.

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

Published in:

[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  (Volume:2 )

Date of Conference:

Oct 1999