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A generalized method for automatic segmentation of neighboring cells
Wang ZZ(王振洲)
作者部门机器人学研究室
会议名称41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015
会议日期November 9-12, 2015
会议地点Yokohama, Japan
会议主办者IEEE Industrial Electonics Society (IES)
会议录名称IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society
出版者IEEE
出版地Piscataway, NJ, USA
2015
页码4235-4240
收录类别EI ; CPCI(ISTP)
EI收录号20162402482720
WOS记录号WOS:000382950704039
产权排序1
ISSN号1553-572X
ISBN号978-1-4799-1762-4
关键词Segmentation Threshold Selection Morphology Image Processing Neighboring Cells Skeletal Muscle Micrograph Anaplastic Astrocytoma Micrograph
摘要Robust and automatic segmentation of the neighboring cells remains a challenging problem due to the diversity of the cell types, frequently occurring artifacts, weak borders between adjacent cells, the arbitrary shape and large number of cells. Currently, the widely used segmentation and quantification tools are still manual or semi-automatic, which is time-consuming and labor intensive. With a breakthrough in the accuracy of threshold selection method proposed by the author, it is feasible now for a completely automatic and generalized method to fulfill the segmentation task. Even if the automatic method might not be perfect for segmenting all the neighboring cells in all the acquired images, the manual work after automatic segmentation will be minor. The proposed generalized method for cell segmentation comprises three parts: 1) Preparatory segmentation; 2) Cell identification; 3) Border delineation. We tested the proposed method on two types of cell images: 1) stained mice skeletal muscle micrograph; 2) human anaplastic astrocytoma micrograph. Experimental results show that the proposed method is effective in segmenting the neighboring cells and is thus promising for the future streamlined cell segmentation tool. 
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/18719
专题机器人学研究室
作者单位Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
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Wang ZZ. A generalized method for automatic segmentation of neighboring cells[C]//IEEE Industrial Electonics Society (IES). Piscataway, NJ, USA:IEEE,2015:4235-4240.
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