Research Article
Skin Cancer Recognition and Detection Using Machine Learning Algorithm
@INPROCEEDINGS{10.4108/eai.16-5-2020.2304046, author={A Jenitha and G Amrutha and K. L. Kishore and K.R. Rohan and S. N. Sagar}, title={Skin Cancer Recognition and Detection Using Machine Learning Algorithm}, proceedings={Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India}, publisher={EAI}, proceedings_a={ICASISET}, year={2021}, month={1}, keywords={skin cancer cnn melanoma svm knn machine learning}, doi={10.4108/eai.16-5-2020.2304046} }- A Jenitha
G Amrutha
K. L. Kishore
K.R. Rohan
S. N. Sagar
Year: 2021
Skin Cancer Recognition and Detection Using Machine Learning Algorithm
ICASISET
EAI
DOI: 10.4108/eai.16-5-2020.2304046
Abstract
In this paper, we concentrate on the identification of skin cancer. The skin images are taken from a medical database which is a pre-processed image, which is given as input for different machine learning algorithm. The algorithm used is KNN classifier, SVM classifier, and CNN model. where these classifiers will classify whether a given image is cancerous or non-cancerous image. In case of the KNN and SVM the output is 80%, hence in CNN model substantial improvement in accuracy of cancer detection is obtained & it can classify the cancerous & Non-cancerous images efficiently. The process was conducted for test data, training data and validation data using different-images. The training dataset was trained with 100 epochs. The process obtained the accuracy of 97% in training result. in testing result obtained is 95% of accuracy and 96% for val-idation testing.
