descriptionPublicationkeyboard_double_arrow_right Article 15 Nov 2019Publisher:Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESPJournal:International Journal of Management and Humanities, volume 4, pages 39-42 (eissn: 2394-0913,

Authors: Sushant Kumar; Adnan Afridi; Mohammed Abdul Sofiyan; S. Nandhini;

doi: 10.35940/ijmh.c0434.114319

Skin Cancer Classification using Random Forest

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Abstract

Skin cancer is a very big health issue in today’s fastgrowing population not only for old age people but for all age groups. We are classifying skin cancer of a person according to dermatoscopic images into seven different types. We handle this issue utilizing the HAM10000 (Human-Against-Machine with 10000 training images) data-set. The finalized dataset includes 10001 dermatoscopic pictures which are released as a readiness set for academic machine learning purposes and are openly available through the ISIC archive. We are classifying skin cancer of a person according to dermatoscopic images into seven different types.Through this research a person will get to know that if he/she suffering from any kind of skin cancer or not, so before going to consult any doctor a person will have some assurance about skin cancer.

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