An Automated Method for Segmentation of Epithelial Cervical Cells in Images of ThinPrep

被引：51
|
作者：
Harandi, Negar M. [1 ,2 ]
Sadri, Saeed [1 ,2 ]
Moghaddam, Noushin A. [2 ]
Amirfattahi, Rassul [1 ,2 ]
机构：
[1] Isfahan Univ Technol, Digital Signal Proc Res Lab, Dept Elect & Comp Engn, Esfahan 841568311, Iran
[2] Isfahan Univ Med Sci, Med Image & Signal Proc Res Ctr, Esfahan 8174673461, Iran
来源：
JOURNAL OF MEDICAL SYSTEMS | 2010年 / 34卷 / 06期
关键词：
Cell segmentation; Geometric active contours; Level set method; Circular decomposition; Pap smear; ThinPrep;
D O I：
10.1007/s10916-009-9323-4
中图分类号：
R19 [保健组织与事业（卫生事业管理）];
学科分类号：
摘要：
We present an automated method for segmentation of epithelial cells in images taken from ThinPrep scenes by a digital camera in a cytology lab. The method covers both steps of localization of cell objects in low resolution and detection of cytoplasm and nucleus boundary in high resolution. The underlying method makes use of geometric active contours as a powerful tool of segmentation. We also provide the analysis of the connected cells. For this purpose an automatic circular decomposition method is incorporated and adapted to the application by changing its segmentation condition. The results are evaluated numerically and compared with those of previous work in literature.
引用
收藏
页码：1043 / 1058
页数：16
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