Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/43820
標題: Nucleus and cytoplast contour detector from a cervical smear image
作者: Pai, Pei-Yan
Chang, Chin-Chen
Chan, Yung-Kuan
關鍵字: Cervical smear screening;Cervical cancer;Thresholding;Image segmentation
Project: Expert Systems with Applications, Volume 39, Issue 1,page(s) 154–161.
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.
URI: http://hdl.handle.net/11455/43820
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2011.06.034
Appears in Collections:資訊管理學系

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