Graph-Based Segmentation of Abnormal Nuclei in Cervical Cytology

Automation-assisted reading techniques have the potential to reduce errors and increase productivity in cervical cancer screening Birdsong (1996), Biscotti et al. (2005), Wilbur et al. (2009), Kitchener et al. (2011), Zhang et al. (2014). The key function of these techniques is to automatically distinguish potentially abnormal cells from a large numbers of normal cells in cervical cytology slides for further manual reading by pathologists Birdsong (1996), Biscotti et al. (2005), Wilbur et al. (2009), Kitchener et al.

Source: Computerized Medical Imaging and Graphics - January 30, 2017 Category: Radiology Authors: Ling Zhang, Hui Kong, Shaoxiong Liu, Tianfu Wang, Siping Chen, Milan Sonka Source Type: research