Skin Cancer Classification using Random Forest

Nandhini, MS. S. and Sofiyan, Mohammed Abdul and Kumar, Sushant and Afridi, Adnan (2019) Skin Cancer Classification using Random Forest. International Journal of Management and Humanities, 4 (3). pp. 39-42. ISSN 23940913

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Abstract

Abstract: Skin cancer is a very big health issue in today’s fast-growing 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.

Item Type: Article
Subjects: Science Repository > Social Sciences and Humanities
Depositing User: Managing Editor
Date Deposited: 28 Apr 2023 04:19
Last Modified: 23 Jan 2024 04:09
URI: http://research.manuscritpub.com/id/eprint/2094

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