为提高噪声环境下椭圆类物体形状检测算法的稳定性与准确性，本文提出非线性数据拟合模型结合交叉参考迭代的新思路。
To solve the problem of ellipse - object - shape parameters detection in noise image, a new detection algorithm using nonlinear data fitting model and cross-reference iterative method is proposed.
在向心性肥大和向心性重塑患者中，大剂量多巴酚丁胺负荷下的第一次灌注显像为冠心病的诊察提高了诊断准确性。
In patients with concentric remodeling and concentric hypertrophy additional first-pass perfusion imaging during high dose dobutamine stress improves the diagnostic accuracy for the detection of CAD.
实验结果证明了算法的有效性和可靠性，为进一步提高手机软板缺陷检测的准确性提供了保障。
It is showed by experiment that the arithmetic is effective and reliable, which provide a guarantee to improve the accuracy of mobile phone FPC board defect detection further.
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