| Literature DB >> 21096592 |
Valentina Giannini1, Anna Vignati, Lia Morra, Diego Persano, Davide Brizzi, Luca Carbonaro, Alberto Bert, Francesco Sardanelli, Daniele Regge.
Abstract
Automatic segmentation of the breast and axillary region is an important preprocessing step for automatic lesion detection in breast MR and dynamic contrast-enhanced-MR studies. In this paper, we present a fully automatic procedure based on the detection of the upper border of the pectoral muscle. Compared with previous methods based on thresholding, this method is more robust to noise and field inhomogeneities. The method was quantitatively evaluated on 31 cases acquired from two centers by comparing the results with a manual segmentation. Results indicate good overall agreement within the reference segmentation (overlap=0.79 ± 0.09, recall=0.95 ± 0.02, precision=0.82 ± 0.1).Entities:
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Year: 2010 PMID： 21096592 DOI： 10.1109/IEMBS.2010.5627191
Source DB: PubMed Journal: Annu Int Conf IEEE Eng Med Biol Soc ISSN： 2375-7477