作者
Fei Ma, Mariusz Bajger, John P Slavotinek, Murk J Bottema
发表日期
2007/9/1
期刊
Pattern Recognition
卷号
40
期号
9
页码范围
2592-2602
出版商
Pergamon
简介
Two image segmentation methods based on graph theory are used in conjunction with active contours to segment the pectoral muscle in screening mammograms. One method is based on adaptive pyramids (AP) and the other is based on minimum spanning trees (MST). The algorithms are tested on a public data set of mammograms and results are compared with previously reported methods. In 80% of the images, the boundary of the segmented regions has average error less than 2mm. In 82 of 84 images, the boundary of the pectoral muscle found by the AP algorithm has average error less than 5mm.
学术搜索中的文章
F Ma, M Bajger, JP Slavotinek, MJ Bottema - Pattern Recognition, 2007