应用百分率来计算其乳腺癌征象微钙化(microcalcification,MC)、肿块(mass,MA)及腋窝淋巴结(lymphnode,LN)的的敏感性,并计算其95%可信区间。
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This paper presents some research on the pattern representation, feature selection and classification of CAD for the diagnosis of benign and malignant microcalcification clusters (MCCs).
本文主要针对CAD系统中的模式表示、特征选择和分类器设计进行研究,以实现对微钙化簇病变类型的诊断。
参考来源 - 结合代价敏感与半监督学习的乳腺癌辅助诊断算法研究Experiments express that the approach investigated by our dissertation has a good performance on the microcalcification targets detection, we can even detect targets correctly in very dense mammograms, also with low false-positive rate.
实验结果表明,本文所提出的算法对微钙化点目标具有良好的检测性能,即使在致密的乳腺图像中也能够正确检测出真实目标,并且检测结果具有较低的假阳性率。
参考来源 - 乳腺X光影像中微钙化点检测技术的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
微小的、不规则的沉积物称为微钙化物质，可能与癌症有关。
Tiny, irregular deposits called microcalcifications may be associated with cancer.
最后利用二维最大熵阈值分割对图像二值化，从而检测出微钙化点并在图像上标识出来。
Lastly two-dimensional entropic thresholding was applied to segmentation image, thus microcalcifications were detected and were marked in mammograms.
探讨甲状腺结节中微钙化和血流动力学指标，作为中医瘿瘤痰瘀内结辨证客观化指标的可行性。
To investigate the feasibility of using microcalcification and hemodynamics in thyroid nodule as the objective index of gallae with phlegm and blood stasis.
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