Analysis of false-positive microcalcification clusters identified by a mammographic computer-aided detection scheme
Analysis of false-positive microcalcification clusters identified by a mammographic computer-aided detection scheme
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通过乳房X线照相计算机辅助检测方案识别的假阳性微钙化簇的分析
DOI：
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发表时间：
1994
期刊：
影响因子：
--
通讯作者：
K. Doi
中科院分区：
文献类型：
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作者：
R. Nishikawa;C. Vyborny;M. Giger;K. Doi
计算机辅助检测(CAD)方案的准确性涉及到高灵敏度和低假阳性率之间的权衡。在一项正在进行的研究中，我们正在分析我们的CAD方案，用于检测数字乳房X光照片中的簇状微钙化，以确定假阴性和假阳性簇的原因。已经确定了导致假阴性和假阳性的两个不同的限制。第一个限制是由数字乳房X光照片的质量造成的，而第二个限制是真和假集群之间的射线特征相似的结果。在这篇文章中，我们研究了图像质量，特别是图像噪声对我们的CAD方案性能的影响。初步结果表明，我们的方案的性能受到解剖噪声和X射线量子噪声的限制。我们的CAD方案在临床图像中检测到的几乎所有假阳性都是由这两种形式的噪声共同引起的。
The accuracy of computer-aided detection (CAD) schemes involves a tradeoff between high sensitivity and low false-positive rate. In an on-going study, we are analyzing our CAD scheme for the detection of clustered microcalcifications in digital mammograms to determine the causes of false-negative and false-positive clusters. Two different limitations that lead to false-negatives and false-positives have been identified. The first limitation is imposed by the quality of the digital mammogram, whereas the second is a consequence of the similarities of radiographic features between true and false clusters. In this paper, we examine the effects of image quality, particularly image noise, on the performance of our CAD scheme. Preliminary results indicate that the performance of our scheme is limited by anatomic noise and x-ray quantum noise. Almost all the false positives detected in clinical images by our CAD scheme are caused by a combination of these two forms of noise.
影响因子：
6.7
作者：
CHAN, HP;DOI, K;MACMAHON, H
通讯作者：
MACMAHON, H