Description

Oral cancer starts in the cells of the mouth (oral cavity). The oral cavity is made up of many parts like lip, tongue, inside of the lip and cheeks, hard palate (roof of the mouth), floor of the mouth, gums and teeth. Oral Cavity cancers have been increasing in the recent years and each year more new cases of oral cancer are reported. “Ahmedabad is considered the capital of oral cancers with 40% of cancers Recorded being cancers of the mouth mostly caused by tobacco and gutkha chewing Biopsy is one of the medical tests for skin cancer detection. A recent biopsy procedure requires invasive tissue removal from a living body. It is time consuming and complicated task. So non – invasive in – vivo virtual biopsy is preferable one, which is processed by automatic cell segmentation approach. The key component of the developed algorithms are morphological transform that use the concept of morphological image processing and incorporate some principles of convergence index filter are used to segment cells in in – vivo virtual biopsy of human skin. This paper improves the success of automated cell segmentation for skin cancer diagnosis. This paper also presents different approaches involved in automated cell segmentation and identification of skin cancer at an earlier stage.