期刊
JOURNAL OF MEDICAL SYSTEMS
卷 34, 期 6, 页码 1043-1058出版社
SPRINGER
DOI: 10.1007/s10916-009-9323-4
关键词
Cell segmentation; Geometric active contours; Level set method; Circular decomposition; Pap smear; ThinPrep
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.
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