Survey On Various Segmentation Methods For Skin Related Diseases

Document Type : Primary Research paper

Authors

1 Research Scholar, Department of computer Science, school of computing sciences, Vels institute of science technology and advanced studies (VISTAS), Chennai.

2 Research Supervisor, Assistant Professor, Department of computer Science, school of computing sciences, Vels institute of science technology and advanced studies (VISTAS), Chennai.

Abstract

In recent era, deep learning often pose serious upgrades in feature learning that helps to understand complex data patterns in precise manner. Hence, it would be essential in understanding the patterns of human skin to recognize the type of skin disease and its virulence. In this paper, we provide various machine learning and deep learning algorithm that helps in segmentation or classification of skin related disease. The machine learning and deep learning algorithm is found to be effective in maintaining the state information via its precise segmentation/classification. The study further provides the discussion on limitations associated with skin disease segmentation or classification. Further the study provides directions for future scope that possess real-time analysis.

Keywords

Int. J. of Aquatic Science
Volume 12, Issue 3 - Serial Number 3
ICMMNT-2021 International Virtual Conference on Materials, Manufacturing and Nanotechnology, 30th June, 2021.
June 2021
Pages 1888-1901

Files

Share

How to cite

Statistics