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1)  microcalcification detection
微钙化检测
2)  micro-calcification detection
微钙化点检测
1.
To solve the problem of false positive in micro-calcification detection, a double-layer support vector classifier model with reject feature is proposed.
为克服微钙化点检测中假阳性高的缺点,本文构造了一种带拒识能力的双层支持向量模型分类器用于钙化点检测。
2.
To solve the problem of false positive in micro-calcification detection,a two-layer support vector classifier model with rejection feature(TLSVCRF) is proposed.
为克服医学图像微钙化点检测中假阳性高的缺点,构造了一种带拒识能力的双层支持向量模型分类器,用于钙化点检测。
3.
To improve the speed and the problem of high false positive in micro-calcification detection,a novel micro-calcification detection method based on support vector classifier model with rejection feature and Iterative Rank-order Filter Subspace is proposed.
为提高钙化点检测速度,克服微钙化点检测中假阳性高的缺点,本文构造了一种迭代顺序滤波子空间约束的可拒识-支持向量机分类器用于钙化点检测。
3)  microcalcification detection
微钙化点检测
4)  microcalcification cluster detection
微钙化簇检测
5)  microcalcification object detection
钙化目标检测
6)  automatically detect calcifications
钙化点自动检测
补充资料:微库仑检测器
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性质:又称电量检测器(coulometric detector)。将有机试样中的N,S及卤素分别转化为NH3,SO2及HX等,然后通过特制的库仑池,由库仑池吸收,与其中的溶液发生反应,使库仑池失去平衡,于是库仑池就通过电解特定物质来恢复平衡。电解中所耗电量可自动记录下来。   

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