Implementation of an application for skin cancer detection of skin cancer
DOI:
https://doi.org/10.18687/LACCEI2025.1.1.1705Keywords:
Convolutional neural networks, deep learning, skin cancer, lesions, melanoma.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.Downloads
Published
2025-07-27
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Copyright (c) 2025 LACCEI
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How to Cite
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