Mobile Application Based on Convolutional Neural Networks for the Initial Evaluation of Cutaneous Melanoma

Abstract: Cutaneous melanoma is a dermatological disease that affects a large portion of the world's population and is characterized by its high capacity for dissemination and aggressiveness, especially when not detected early. Given this need, the objective was to develop a mobile application based on convolutional neural networks for the initial assessment of this condition. Therefore, the percentage increase in sensitivity, specificity, and accuracy was evaluated. The research employed a quantitative approach and a pre-experimental design. The study variable was the initial assessment of cutaneous melanoma. The sample consisted of 120 images: 60 images from patients with melanoma-positive and 60 images from patients with melanoma-negative. The results of the implementation showed an increase in sensitivity of 0.729%, specificity of 3.626%, and accuracy of 2.631%. In conclusion, the adoption of the mobile application based on convolutional neural networks strengthens the initial assessment of cutaneous melanoma by optimizing these indicators.

Julio Guillermo Farro-Llanos, Manases Sabteca Juan De Dios-Arango and Rosalynn Ornella Flores-Castañeda. “Mobile Application Based on Convolutional Neural Networks for the Initial Evaluation of Cutaneous Melanoma”. International Journal of Advanced Computer Science and Applications (IJACSA) 17.3 (2026). http://dx.doi.org/10.14569/IJACSA.2026.0170359

@article{Farro-Llanos2026,
title = {Mobile Application Based on Convolutional Neural Networks for the Initial Evaluation of Cutaneous Melanoma},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2026.0170359},
url = {http://dx.doi.org/10.14569/IJACSA.2026.0170359},
year = {2026},
publisher = {The Science and Information Organization},
volume = {17},
number = {3},
author = {Julio Guillermo Farro-Llanos and Manases Sabteca Juan De Dios-Arango and Rosalynn Ornella Flores-Castañeda}
}