Nucleus and cytoplast contour detector from a cervical smear image

被引：23

作者：

Pai, Pei-Yan ^{[3
]}

Chang, Chin-Chen ^{[2
]}

Chan, Yung-Kuan ^{[1
]}

机构：

[1] Natl Chung Hsing Univ, Dept Management Informat Syst, Taichung 402, Taiwan

[2] Feng Chia Univ, Dept Informat Engn & Comp Sci, Taichung 407, Taiwan

[3] Asia Univ, Dept Informat Commun, Taichung 413, Taiwan

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2012年 / 39卷 / 01期

关键词：

Cervical smear screening; Cervical cancer; Thresholding; Image segmentation; SEGMENTATION;

D O I：

10.1016/j.eswa.2011.06.034

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a nucleus and cytoplast contour detector (NCC detector) is presented to automatically detect the cytoplast and nucleus contours of a cell in a cervical smear image. The NCC detector uses the adaptable threshold decision (ATD) method to separate the cell from the cervical smear image, and then uses the maximal gray-level-gradient-difference (MGLGD) method, proposed in this paper, to extract the nucleus from the cell. The experimental results show that the NCC detector is superior to two existing methods, the gradient vector flow-active contour model (GVF-ACM) and the edge enhancement nucleus and cytoplast contour (ENNCC) detector, in segmenting the cytoplast and nucleus of a cell. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：154 / 161

页数：8

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