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In in vitro histological assessment, mitotic cells play one of the key roles for the diagnosis of oral squamous cell carcinoma (OSCC). In view of this, our paper aims to develop a computer assisted mitotic cell segmentation scheme for automated recognition from microscopic images of OSCC. The methodology includes multilevel thresholding, statistical moment features and classification and regression...
In this paper, a system for diagnosis of oral cancer has been developed using Gabor filter technique. The microscopic images of immunohistochemical staining of β-catenin expression are segmented using a bank of Gabor filter tuned to different spatial frequencies and orientation in order to decompose the image into number of filtered image to obtain feature image. To produce segmented image Fuzzy C-means...
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