• Mamta Baheti

With advent of technology, there is a side effect that affect human life and induces many diseases. People across globe are widely using the recent technology for the ease in the lifestyle. But this is inducing huge amount of pollution and unhealthy food and thereby use of medication (many a times self medication) results in allergies that may lead to skin cancer. If the skin cancer is treated in primary stages mortality rate across globe due to skin cancer can be reduced. This paper is an attempt to summarize the reported work and put forth a pathway to researchers to generate interest in area of medical imaging, recognizing the cancerous cells from the captured image and then using an expert system with a set of classifiers to predict whether the image has cancerous cells or not. Imaging, image segmentation and then application of classifier are the key steps in diagnosis of skin cancer cells.

Skin cancer, Melanoma cells, Image segmentation, classifiers, image preprocessing

"Comparative study of classification methods for diagnosis of Skin Cancer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 8, page no.34-38, August-2020, Available :http://www.jetir.org/papers/JETIREF06006.pdf

"Comparative study of classification methods for diagnosis of Skin Cancer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 8, page no. pp34-38, August-2020, Available at : http://www.jetir.org/papers/JETIREF06006.pdf