A novel ultrasound image segmentation algorithm, which is based on the spectral cluster ensemble, is proposed to segment ultrasound images with low SNR.
为了对低信噪比的超声图像进行有效分割，提出一种谱聚类集成的超声图像分割算法。
Measured isotope peak cluster data in a mass spectral range is obtained for a given calibration standard.
对于给定的校准标准，得到在质谱范围中的测量的同位素峰集群数据。
Convolution operations are performed between the calculated relative isotope abundances and the mass spectral target peak shape functions to form calculated isotope peak cluster data.
在计算出的相对同位素丰度与质谱目标峰形状函数之间执行卷积运算，以形成计算的同位素峰集群数据。
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