Adaptive successive erosion-based cell image segmentation for p53 immunohistochemistry in bladder inverted papilloma

被引:0
|
作者
Zhou, Hao [1 ]
Mao, K. Z. [1 ]
机构
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 2263, Singapore
来源
2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2005年
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D O I
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中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Cell nuclei segmentation is a critical issue in automatic cell analysis for cancer diagnosis and prognosis. Marker-controlled watershed segmentation algorithm is used the most commonly. In this paper, adaptive successive erosion-based (ASE) marker extraction method for watershed algorithm is presented, with the goal of extracting markers labelling each individual nucleus, including overlapping cell nuclei. Based on the new marker detection method, an integrated cell image segmentation algorithm is developed for p53 immunohistochemistry in bladder inverted papilloma. Experiments were performed on a number of images, and results demonstrate that the algorithm produces more accurate segmentation than other methods.
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页码:6484 / 6487
页数:4
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