Implementation of an application for skin cancer detection of skin cancer

Coveñas-Lalupú J.; Daniel Alejandro Y.-S.; Julio Elmer S.-A.; Jaime Luis E.-A.; Jose Antonio O.-A.; Morales-Alvarado A.U. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2025) · DOI: 10.18687/laccei2025.1.1.1705

Resumen

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.

Instituciones: Universidad Científica del Sur; Universidad Ricardo Palma; Universidad Nacional Federico Villarreal; Universidad César Vallejo