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Cell image segmentation method and a nuclear-to-cytoplasmic ratio evaluation method using the same

机译:细胞图像分割方法和使用该方法的核质比评估方法

摘要

A cell image segmentation method includes receiving a cell image, performing a nuclei initialization step to find an internal marker and an external marker to obtain a potential nuclei and a potential cell boundary, calculating a gradient map of the received cell image, performing a filtering step on the gradient map to generate a filtered gradient map, performing a nuclei detection step to obtain a segmented nuclei, and performing a nuclei validation step to obtain a valid nuclei. The nuclei initialization step includes performing a blob detection step to obtain a nuclei candidate, an outlier removal step to obtain the internal marker, a distance transform step to obtain a distance map, and a cell boundary initialization step to obtain the external marker. In another embodiment, a nuclear-to-cytoplasmic ratio evaluation method using the above cell image segmentation method is proposed.
机译:细胞图像分割方法包括:接收细胞图像;执行核初始化步骤以找到内部标记和外部标记以获得潜在核和潜在细胞边界;计算接收到的细胞图像的梯度图;执行滤波步骤。在梯度图上生成滤波后的梯度图,执行核检测步骤以获取分段核,并执行核验证步骤以获取有效核。核初始化步骤包括执行斑点检测步骤以获得核候选者,离群值去除步骤获得内部标记,距离变换步骤获得距离图,以及细胞边界初始化步骤获得外部标记。在另一实施方式中,提出了使用上述细胞图像分割方法的核质比评价方法。

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