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fit to early detection of breast cancer. That is to say, the proposed approach can provide some
important basis to improve the CAD system.
This is an extension of the paper published on the IPCV'14 [ 21 ]. Here, we further evaluate
the performance of our proposed algorithm using a novel distance-based boundary similarity
measure based on the manual-segmented result mainly. In future work, we would like to clas-
sify the breast masses to benign and malignant based on the auto-segmented results of this
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