Implementation of an application for skin cancer detection of skin cancer

Authors

  • Jose Coveñas Lalupú Universidad Nacional Federico Villarreal - (Pe)
  • Daniel Alejandro Yucra Sotomayor Universidad Científica Del Sur - (Pe)
  • Julio Elmer Sotomayor Abarca Universidad Nacional Federico Villarreal - (Pe)
  • Jaime Luis Escobar Aguirre Universidad San Ignacio De Loyola - (Pe)
  • Jose Antonio Ogosi Auqui Universidad Nacional Federico Villarreal - (Pe)
  • Alex Ulises Morales Alvarado Universidad César Vallejo - (Pe)

DOI:

https://doi.org/10.18687/LACCEI2025.1.1.1705

Keywords:

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.

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Published

2025-07-27

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

LACCEI retains copyright of all published articles under the terms of its copyright transfer agreement. As the copyright holder, LACCEI distributes the articles to the public under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).

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

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