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DETECTION OF MELANOMA SKIN CANCER BY EXTRACTING FEATURES FROM CANCER IMAGE
Akash S., Abhishek R., Pushkar S., Ashish S.,Harshada Mhaske

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-10, pp.6-8, Oct 2017
DPI :-> 16.10046.IJCESR.2017.V4I10.68.1997



Abstract
Melanoma Cancer is one of the deadliest form of cancer. Out of 75% deaths caused by cancer, 4% are because of melanoma. Melanoma is one of type of skin cancer that usually develops from prolonged exposure to UV light. The frequency of melanoma cancer is rising in many countries where the factors like tanning and sun exposure make possible their appearance in young people. It is relatively easily curable if it is detected in its early stages, however if diagnosis is late, melanoma grows deeper into the skin and the risk increases. This form of cancer is most prevalent in countries like Australia, USA. In this paper we discussed about various popular algorithms used to detect melanoma cancer and propose a new system that combines these algorithms together in one system. These algorithms are proposed by expert doctors.

Key-Words / Index Term
7-Point, Menzies, BLINCK algorithm, dermatoscopic images.

How to cite this article
Akash S., Abhishek R., Pushkar S., Ashish S.,Harshada Mhaske , “DETECTION OF MELANOMA SKIN CANCER BY EXTRACTING FEATURES FROM CANCER IMAGE”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-10, pp.6-8, Oct 2017. DPI:16.10046.IJCESR.V4.I10.1997