Implementation of an application for skin cancer detection of skin cancer (#1705)
Read ArticleDate of Conference
July 16-18, 2025
Published In
"Engineering, Artificial Intelligence, and Sustainable Technologies in service of society"
Location of Conference
Mexico
Authors
Coveñas Lalupú, Jose
Yucra Sotomayor, Daniel Alejandro
Sotomayor Abarca, Julio Elmer
Escobar Aguirre, Jaime Luis
Ogosi Auqui, Jose Antonio
Morales Alvarado, Alex Ulises
Abstract
This article provides a detailed exploration of the structure and operation of an advanced system that utilizes artificial intelligence, specifically convolutional neural networks, with the aim of enhancing the early detection of skin cancer, with a particular focus on melanoma. It delves deep into how these cutting-edge technologies are being employed to revolutionize the diagnostic process of this potentially life threatening disease. The article sheds light on the positive impact that artificial intelligence can have on diagnostic accuracy, ultimately potentially leading to a significant improvement in survival rates for melanoma patients.