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 |
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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 |