标题:Segmentation of immunohistochemical image of lung neuroendocrine tumor based on double layer watershed
作者:Cao, Maoyong; Wang, Shuang; Wei, Lu; Rai, Laxmisha; Li, Dong; Yu, Hui; Shao, Dan
作者机构:[Cao, Maoyong; Wang, Shuang; Wei, Lu] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, 579 Qianwangang Rd, Qingdao 266590, Shandong, Peoples R 更多
通讯作者:Cao, MY;Cao, Maoyong
通讯作者地址:[Cao, MY]Shandong Univ Sci & Technol, Coll Elect Engn & Automat, 579 Qianwangang Rd, Qingdao 266590, Shandong, Peoples R China.
来源:MULTIMEDIA TOOLS AND APPLICATIONS
出版年:2019
卷:78
期:7
页码:9193-9215
DOI:10.1007/s11042-018-6431-5
关键词:Watershed; Ki-67; Segmentation; Lung neuroendocrine tumor
摘要:Lung neuroendocrine tumor is a special kind of lung cancer. The level of tumor is a major factor in the diagnostic process of this kind of tumor, where Ki-67 proliferation is often used as the classification index. The segmentation and classification of Ki-67 immunohistochemical images of lung neuroendocrine tumors is the key to realize automatic calculation of Ki-67 proliferation index. In this paper, a new image segmentation algorithm based on double layer watershed is proposed, which is suitable for the characteristics of uneven color of the nucleus. For calculating the Ki-67 proliferation index, classification of negative and positive tumor cells by their color difference is accomplished. By means of the features of regional average gray level, area and circularity, the segmentation of nucleus which cannot be completely segmented is supplemented. The mean and standard deviation are used to evaluate the accuracy after segmentation, and they have major improvement through the new algorithm proposed in this paper. Detailed theoretical analysis and reasonable experimental results demonstrate the feasibility and accuracy of the method.
收录类别:EI;SCIE
资源类型:期刊论文
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