Spatially based application of the minimum cross-entropy thresholding algorithm to segment the pectoral muscle in mammograms

被引：0
|
作者：
Masek, M [1 ]
Chandrasekhar, R [1 ]
deSilva, CJS [1 ]
Attikiouzel, Y [1 ]
机构：
[1] Univ Western Australia, Australian Res Ctr Med Engn, Perth, WA 6907, Australia
来源：
ANZIIS 2001: PROCEEDINGS OF THE SEVENTH AUSTRALIAN AND NEW ZEALAND INTELLIGENT INFORMATION SYSTEMS CONFERENCE | 2001年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A threshold-based algorithm is presented for the extraction of the pectoral muscle edge in mediolateral oblique view mammograms. The minimum cross-entropy thresholding algorithm is applied to local areas around the pectoral muscle to determine a series of thresholds as a function of area size. Using a model image it is shown that an inflection point in this function corresponds to a threshold that will separate the pectoral muscle from the rest of the breast. Post processing is performed on mammograms to eliminate false positive points of inflection and a straight line is fitted to the detected pectoral boundary in order to smooth jaggedness caused by the non-uniform intensity of the pectoral muscle edge.
引用
收藏
页码：101 / 106
页数：6
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