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Segmenting cervical epithelial nuclei from confocal images Gaussian Markov random fields
Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)
Cervical cancer is always preceded by epithelial lesions which have larger and more densely spaced nuclei than normal tissue. Detecting and removing these lesions prevents the development of cervical cancer. A proposed method to detect precancerous lesion in vivo is to use the nuclear size and density information from fiber optic confocal images of the cervical epithelial tissue to classify the tissue as normal or precancerous. Automatically segmenting nuclei is challenging because they are
doi:10.1109/icip.2003.1246870
dblp:conf/icip/LuckBR03
fatcat:22la3k6aurgflidxxiamzlo6hq