Skin Cancer Classification using Random Forest
- 1. Assistant Professor (O.G) at SRM Institute of science and technology.
- 2. Department of B.tech in SRM Institute of science and technology.
Contributors
- 1. Publisher
Description
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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Additional details
Related works
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- Journal article: 2394-0913 (ISSN)
Subjects
- ISSN
- 2394-0913
- Retrieval Number
- C0434114319/2019©BEIESP