Automated detection of masses in mammograms by local adaptive thresholding
Automated detection of masses in mammograms by local adaptive thresholding
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DOI：
10.1016/j.compbiomed.2005.12.004
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发表时间：
2007-01-01
影响因子：
7.7
通讯作者：
Kom, Martin
中科院分区：
文献类型：
--
作者：
Kom, Guillaume;Tiedeu, Alain;Kom, Martin
本文提出了一种从乳腺X线图像中检测可疑肿块的算法。该算法在包含61张乳房X光照片的数据库中进行了测试，这些照片上的肿块之前已由经验丰富的放射科医生标记过。实验结果表明，该方法对质量检测的灵敏度为95.91%。当在检测前对原始图像进行增强时，受试者工作特征（ROC）下的面积Az为0.946，否则为0.938。此外，在某些情况下，我们可以检测到放射科医生无法标记的一些肿块。(c)2006爱思唯尔有限公司版权所有。
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.