• Kaviyavarshini.P
• Subhiksha dharshni.A
• Rimona.R
• Veronika.J
• DR.N.Moganarangan

Melanoma occurs when the pigment producing cells that gives color to the skin becomes cancerous. It typically occurs in the skin, but may rarely occur in mouth, intestine or eye. Sometimes cancer can be diagnosed simply by looking at the skin. The medically used method for detection of melanoma recommended by doctor is biopsy-an examination of tissue from a living body to discover the presence of disease. In this paper an overview of about the methods implemented for early detection of melanoma are been discussed. The most commonly used method is the ABCD rule. The other proposed method include, pattern recognition, feature extraction from dermatoscopic images, deep learning algorithm, computerized based skin lesion classification. The deep learning algorithm includes back propagation neural network, convolutional neural network, SVM. The methods and their limitation in some of the existing studies are highlighted and suggestion for future research is been provided.

image processing, melanoma, neural network, classifier, feature extraction.

"Survey on early detection of melanoma", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.425-430, February-2020, Available :http://www.jetir.org/papers/JETIR2002265.pdf

"Survey on early detection of melanoma", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp425-430, February-2020, Available at : http://www.jetir.org/papers/JETIR2002265.pdf