Implementation of an application for skin cancer detection of skin cancer
DOI:
https://doi.org/10.18687/LACCEI2025.1.1.1705Palabras clave:
Convolutional neural networks, deep learning, skin cancer, lesions, melanoma.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.
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2025-07-27
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Derechos de autor 2025 LACCEI
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Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.
LACCEI conserva el copyright de todos los artículos publicados bajo los términos de su acuerdo de transferencia de copyright. Como titular del copyright, LACCEI distribuye los artículos al público bajo la Licencia Internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0 (CC BY-NC-SA 4.0).
Cómo citar
Coveñas Lalupú, J., Yucra Sotomayor, D. A., Sotomayor Abarca, J. E., Escobar Aguirre, J. L., Ogosi Auqui, J. A., & Morales Alvarado, A. U. (2025). Implementation of an application for skin cancer detection of skin cancer. LACCEI, 1(12). https://doi.org/10.18687/LACCEI2025.1.1.1705