CLASIFICACIÓN EXPLICABLE DE IMÁGENES DERMATOSCÓPICAS PARA LA DETECCIÓN DE CÁNCER DE PIEL TIPO MELANOMA: UN MAPEO SISTEMÁTICO.

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    • Alternate Title:
      Explainable Classification of Dermoscopy Images for the Detection of Melanoma: A Systematic Mapping of the Literature.
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    • Abstract:
      En los últimos tiempos, los modelos de inteligencia artificial aplicados a la detección del melanoma han demostrado resultados prometedores. Sin embargo, la adopción de estas tecnologías se ha visto obstaculizada por la falta de transparencia en las decisiones automáticas. Para abordar este problema, surgió la Inteligencia Artificial Explicable (XAI), que busca reducir las brechas al proporcionar mecanismos que permiten comprender por qué un sistema toma una decisión específica. En este contexto, el presente mapeo sistemático examinó cómo se ha desarrollado la XAI en la detección del cáncer de piel tipo melanoma. Como resultado, se identifican 16 artículos científicos que aplicaron estrictamente métodos de explicabilidad a modelos de clasificación de melanoma; y se logra reconocer la incidencia del cáncer de piel tipo melanoma en Colombia. [ABSTRACT FROM AUTHOR]
    • Abstract:
      Recently, artificial intelligence models applied to the detection of melanoma have shown promising results. However, the adoption of these technologies is hampered by a lack of transparency in automatic decision-making. To address this problem, Explainable Artificial Intelligence (XAI) is emerging, which seeks to reduce gaps by providing mechanisms to understand why a system makes a specific decision. Therefore, this systematic mapping examines how XAI has evolved in the detection of melanoma skin cancer. As a result, sixteen scientific articles that strictly applied explainability methods to melanoma classification models were identified. Finally, the incidence of melanoma in Colombia was determined. [ABSTRACT FROM AUTHOR]
    • Abstract:
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