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A Technique for Extraction of Diagnostic Data from Cytological Specimens

机译:一种从细胞学标本提取诊断数据的技术

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In this paper, a possibility of developing a new criterion for diagnostics of hematopoietic tumors, such as chronic B-cell lymphatic leukemia, transformation of chronic B-cell lymphatic leukemia into lymphosarcoma, and primary B-cell lymphosarcoma, from images of cell nuclei of lymphatic nodes is considered. A method for image analysis of lymphatic node specimens is developed on the basis of the scale space approach. A diagnostically important criterion is defined as a total amount of points of spatial intensity extrema in the families of blurred images generated by the given image of a cell nucleus. The procedure for calculating criterion values is presented.
机译:在本文中,可能开发造血肿瘤诊断标准,例如慢性B细胞淋巴性白血病,慢性B细胞淋巴性白血病转化为淋巴瘤和原发性B细胞淋巴瘤,从细胞核的图像考虑淋巴节点。淋巴结标本的图像分析方法是在规模空间方法的基础上开发的。诊断上重要标准被定义为由给定图像生成的细胞核产生的模糊图像中的空间强度极值的总量。提出了计算标准值的过程。

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