Color Normalization-Based Nuclei Detection in Images of Hematoxylin and Eosin-Stained Multi Organ Tissues

被引：4
|
作者：
Piorkowski, Adam [1 ]
机构：
[1] AGH Univ Sci & Technol, Dept Biocybernet & Biomed Engn, A Mickiewicza 30 Av, PL-30059 Krakow, Poland
来源：
IMAGE PROCESSING AND COMMUNICATIONS: TECHNIQUES, ALGORITHMS AND APPLICATIONS | 2020年 / 1062卷
关键词：
Nuclei detection; Nuclei segmentation; Cell counting; Color transfer; Multi-organ tissue; Hematoxylin and Eosin staining; SEGMENTATION;
D O I：
10.1007/978-3-030-31254-1_8
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This article presents an adaptation of a color transfer method for binarization of cell nuclei in Hematoxylin- and Eosin-stained microscopy images. The aim is to check the ability and accuracy of nuclei detection for multi-organ cases using a public dataset. The results are obtained using the Monte Carlo method and then compared to the ground truth segmentations. Some cases are presented in detail and discussed. This method seems to be promising for the further development of classic and deterministic algorithms for H&E nuclei detection.
引用
收藏
页码：57 / 64
页数：8
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