AUTHORS: Deepa T. P., Jhanhavi, Sesha Ramya, Pavithra, Santhosh Kumar

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ABSTRACT: Cytopathology is a branch which deals with study diseases at the microscopic cell level. Now a day, deadly disease like cancer has become a major challenge in the field of medical research. If these diseases are identified in the early stages, then they are curable. There are many methods to ease, faster and produce accurate results of this analysis. One such approach is using image processing techniques. This paper applies segmentation techniques to find important feature like cell count. This feature is further used to differentiate between normal and abnormal cells. Abnormal cells are the one which may turn into cancerous cells. Hence the early detection of such abnormal cells before they turn into cancerous cells helps to diagnose patient early. The proposed method was evaluated using cervical cells.

KEYWORDS: Cytopathology, Edge detection, Filter, Nuclei, Cervical cell, Cell counting, Image Segmentation

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