Automated detection of masses in mammograms by local adaptive thresholding

被引：94

作者：

Kom, Guillaume ^{[1
]}

Tiedeu, Alain ^{[1
]}

Kom, Martin ^{[1
]}

机构：

[1] Ecole Natl Super Polytech, GRETMAT, LETS, Yaounde, Cameroon

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 2007年 / 37卷 / 01期

关键词：

computer-aided detection; mammogram; mass; segmentation; adaptive thresholding;

D O I：

10.1016/j.compbiomed.2005.12.004

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this paper, an algorithm for detection of suspicious masses from mammographic images is presented. The proposed algorithm was tested on a database of 61 mammograms on which masses had previously been marked by experienced radiologists. Results show that the proposed method exhibits for mass detection, a sensitivity of 95.91%. The area under receiver operating characteristic (ROC) Az was 0.946 when enhancement of the original image was performed before detection and 0.938 otherwise. Furthermore in some cases, we could detect some masses that the radiologists were not able to mark out. (c) 2006 Elsevier Ltd. All rights reserved.

引用

页码：37 / 48

页数：12

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