Review on skin cancer detection using AI
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Published:2022-03-24
Issue:
Volume:
Page:262-277
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ISSN:2550-696X
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Container-title:International journal of health sciences
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language:
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Short-container-title:ijhs
Author:
Ingle Yashwant S.,Shaikh N. F.
Abstract
Skin cancer is caused by reasons such as unhealthy life style, air pollution, UV radiation, etc. Various automated machine learning algorithmic solutions have been created in prevalent years to be used to detect such cancers before any major aggravation has taken place. In this paper there is a review on ways can detect disease and alert us before something becomes serious. The goal of this study is to look at how Artificial Intelligence can be used to diagnose skin cancer. With the use of Artificial Intelligence, people can learn what skin illness they have and what safeguards and steps they should take at an early stage, allowing them to treat the disease successfully. Machine learning will be utilized to determine the ailment and assist us in detecting the outcome. Support vector machine is the most prevalently used classification techniques. The findings of this study will aid doctors in treating disease at its onset, preventing future deterioration.
Publisher
Universidad Tecnica de Manabi
Subject
Education,General Nursing
Cited by
1 articles.
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1. Early Skin Cancer Detection Based on MobileNet & VGG-16;2024 Intelligent Methods, Systems, and Applications (IMSA);2024-07-13