Open AccessSkin Cancer Classification using Random Forest
Author(s) -
MS. S. Nandhini,
Mohammed Abdul Sofiyan,
Sushant Kumar,
A Shahid Afridi
Publication year - 2019
Publication title -
international journal of management and humanities
Language(s) - English
Resource type - Journals
ISSN - 2394-0913
DOI - 10.35940/ijmh.c0434.114319
Subject(s) - skin cancer , random forest , cancer , set (abstract data type) , population , artificial intelligence , medicine , computer science , environmental health , programming language
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.