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Image processing methods for the structural detection and gradation of placental villi

机译:胎盘绒毛结构检测和渐变的图像处理方法

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The context-based examination of stained tissue specimens is one of the most important procedures in histopathological practice. The development of image processing methods allows for the automation of this process. We propose a method of automatic segmentation of placental structures and assessment of edema present in placental structures from a spontaneous miscarriage. The presented method is based on texture analysis, mathematical morphology, and region growing operations that are applicable to the heterogeneous microscopic images representing histological slides of the placenta. The results presented in this study were obtained using a set of 50 images of single villi originating from 13 histological slides and was compared with the manual evaluation of the pathologist.
机译:染色组织标本的基于上下文的检查是组织病理学实践中最重要的程序之一。 图像处理方法的开发允许该过程的自动化。 我们提出了一种自动流产胎盘结构中胎盘结构的自动分割和评估水肿的方法。 呈现的方法基于纹理分析,数学形态学和区域生长操作,其适用于代表胎盘的组织学幻灯片的异构微观图像。 本研究中提出的结果是使用源自13个组织载玻片的单绒毛的50个图像获得,并与病理学家的手动评估进行比较。

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