Librerías informáticas utilizadas en análisis de imágenes dermatológicas con visión computacional: una revisión de literatura
DOI:
https://doi.org/10.51252/rcsi.v4i1.590Palabras clave:
clasificación dermatológica, diagnóstico clínico, inteligencia artificial, lesiones cutáneas, procesamiento de imágenes, segmentación de pielResumen
El análisis de imágenes cutáneas desempeña un papel fundamental en el ámbito de la dermatología, ya que posibilita la detección temprana y precisa de diversas afecciones de la piel. No obstante, este proceso se enfrenta a desafíos significativos debido a la variabilidad de características presentes en las lesiones cutáneas, tales como texturas, tonalidades y la existencia de vellosidades en el contorno. En este artículo, se presenta una revisión sistemática de literatura sobre librerías informáticas utilizadas en el análisis de imágenes dermatológicas con visión computacional. Esta investigación se basa en la declaración PRISMA y las bases de datos científicas: SCOPUS e IEEE Xplore para la búsqueda y tiene como objetivo identificar una amplia variedad de librerías informáticas y lesiones cutáneas. Los resultados mostraron 7 librerías y 21 lesiones dermatológicas, que contribuyen a un análisis más preciso y a un diagnóstico clínico más fiable para la detección oportuna de trastornos cutáneos. En conclusión, la presente investigación resalta librerías informáticas que tiene un impacto significativo en la mejora del diagnóstico clínico, lo cual es clave para el desarrollo de soluciones efectivas para la salud de las personas.
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