Semi-Automatic Segmentation and Classification of Pap Smear Cells

Cytologic screening has been widely used for detecting the cervical cancers. In this study, a semiautomatic PC-based cellular image analysis system was developed for segmenting nuclear and cytoplasmic contours and for computing morphometric and textual features to train support vector machine (SVM)...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics 2014-01, Vol.18 (1), p.94-108
Hauptverfasser:	Chen, Yung-Fu, Huang, Po-Chi, Lin, Ker-Cheng, Lin, Hsuan-Hung, Wang, Li-En, Cheng, Chung-Chuan, Chen, Tsung-Po, Chan, Yung-Kuan, Chiang, John Y.
Format:	Artikel
Sprache:	eng
Schlagworte:	Biomedical imaging Cell Nucleus Cervical cancer Cervix Uteri - cytology Cluster Analysis Cytological Techniques - methods cytology Detectors Educational institutions Electronic mail Female Humans image analysis Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted - methods Image segmentation Laboratories Pap smear Papanicolaou Test - methods Reproducibility of Results Software Support Vector Machine Support vector machines support vector machines (SVMs)
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