Abstract
Cell tissue in microscope images is often grained and its intensities do not well agree with Gaussian distribution assumptions widely used in many segmentation approaches. We present a new cascaded segmentation scheme for inhomogeneous cell tissue based on active contour models. Cell regions are iteratively expanded from initial nuclei regions applying a data-dependent number of optimization levels. Experimental results on a set of microscope images from a human hepatoma cell line prove high quality of the results with regard to the cell segmentation task and biomedical investigations.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
