Artificial Intelligence for Skin Cancer Detection: Scoping Review.

ABSTRACT:

Background

Skin cancer is the most common cancer type affecting humans. Traditional skin cancer diagnosis methods are costly, require a professional physician, and take time. Hence, to aid in diagnosing skin cancer, artificial intelligence (AI) tools are being used, including shallow and deep machine learning-based methodologies that are trained to detect and classify skin cancer using computer algorithms and deep neural networks.

Objective

The aim of this study was to identify and group the different types of AI-based technologies used to detect and classify skin cancer. The study also examined the reliability of the selected papers by studying the correlation between the data set size and the number of diagnostic classes with the performance metrics used to evaluate the mo

SUBMITTER: Takiddin A 

PROVIDER: S-EPMC8663507 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature