Automatic pectoral muscle removal in mammograms

被引：24

作者：

Rahimeto, Samuel ^{[1
]}

Debelee, Taye Girma ^{[2
,3
]}

Yohannes, Dereje ^{[3
]}

Schwenker, Friedhelm ^{[2
]}

机构：

[1] Addis Ababa Sci & Technol Univ, Coll Elect & Mech Engn, Addis Ababa, Ethiopia

[2] Univ Ulm, Inst Neural Informat Proc, D-89069 Ulm, Germany

[3] Addis Ababa Sci & Technol Univ, Dept Comp Engn, POB 120611, Addis Ababa, Ethiopia

来源：

EVOLVING SYSTEMS | 2021年 / 12卷 / 02期

关键词：

Pectoral muscle; Thresholding; Morphological operations; RMSE; IOU;

D O I：

10.1007/s12530-019-09310-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The pectoral muscle is the high-intensity region in most mediolateral oblique (MLO) views of mammograms. Since it appears at the same intensity as most abnormalities it should be removed for successful classification. Removal of pectoral muscle is often a challenging task since its position, size and shape are different for different patients and it may not occur at all. In this paper, an efficient technique for the detection and removal of pectoral muscle is proposed. The algorithm is tested and proved efficient over a wide range of pectoral muscle types and datasets based on IOU and RMSE value.

引用

页码：519 / 526

页数：8

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