An Early Detection of Melanoma Skin by Evaluating the Tissues by Applying Futuristic Preprocessing Technique to Machine Learning Based Image Processing

  • Ravi Dandu, Dr. M. Vinayakamurthi, Dr. Anand R.

Abstract

Skin Cancer is one of the most dangerous and forms of cancer. The cancerous tissues of skin shall be used to segregate into its stage of skin cancer whether the tissue is in benign or malignant stage of skin cancer. The skin cancer tissues identified on human beings shall be subjected to testing for giving an appropriate treatment at early stage. A major reason for skin cancer is due to damage of de-oxy ribonucleic acid. The damage of DNA is one of the major reason for the cause of Melanoma Skin Cancer. The skin cancer must be diagnosed at an early stage to prevent further spread of cancerous tissues into other parts of a person. The person may be affected with Melanoma and appropriate treatment is taken, the lives of humans may be saved from reaching the final stage of skin cancer, which helps the person from reaching their final phase of their lives. An early detection of Melanoma skin cancer saves the lives of humans and appropriate treatment leaves them from spending more expenses towards curing of Melanoma Skin Cancer. The proposed research has contributed to the early detection of Melanoma Skin Cancer by evaluating the tissues subjected to Machine Learning based Image Processing. The evolved research has yield a good performance metrics of 84.51% accuracy on a benchmark dataset.

Published
2021-10-29
How to Cite
Ravi Dandu, Dr. M. Vinayakamurthi, Dr. Anand R. (2021). An Early Detection of Melanoma Skin by Evaluating the Tissues by Applying Futuristic Preprocessing Technique to Machine Learning Based Image Processing. Design Engineering, 8845–8853. Retrieved from http://thedesignengineering.com/index.php/DE/article/view/5929
Section
Articles