<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0124-8170</journal-id>
<journal-title><![CDATA[Ciencia e Ingeniería Neogranadina]]></journal-title>
<abbrev-journal-title><![CDATA[Cienc. Ing. Neogranad.]]></abbrev-journal-title>
<issn>0124-8170</issn>
<publisher>
<publisher-name><![CDATA[Universidad Militar Nueva Granada]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0124-81702022000200171</article-id>
<article-id pub-id-type="doi">10.18359/rcin.6270</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Automated Malignant Melanoma Classification Using Convolutional Neural Networks]]></article-title>
<article-title xml:lang="es"><![CDATA[Clasificación automatizada del melanoma maligno mediante redes neuronales convolucionales]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Riaño Borda]]></surname>
<given-names><![CDATA[Sebastián]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Guarnizo]]></surname>
<given-names><![CDATA[José Guillermo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Camacho Poveda]]></surname>
<given-names><![CDATA[Edgar Camilo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mateus Rojas]]></surname>
<given-names><![CDATA[Armando]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Santo Tomás  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Santo Tomás  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Santo Tomás  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad Santo Tomás  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<volume>32</volume>
<numero>2</numero>
<fpage>171</fpage>
<lpage>185</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0124-81702022000200171&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0124-81702022000200171&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0124-81702022000200171&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: This research is proposed a design of architecture for melanoma (a kind of skin cancer) recognition by using a Convolutional Neural Network (CNN), work that will be useful for researchers in future projects in areas like biomedicine, machine learning, and others related moving forward with their studies and improving this proposal. CNN is mostly used in computer vision (a branch of artificial intelligence), applied to pattern recognition in skin moles and to determine the existence of malignant melanoma, or not, with a limited dataset. The CNN classifier designed and trained in this case was built through a couple of layers of convolution and pooling stacked to form a neural network of 6 layers followed by the fully connected to complete the architecture with an output classifier. The proposed database to train our CNN is the largest publicly collection of dermoscopic images of melanomas and other skin lesions, provided by the International Skin Imaging Collaboration (ISIC), sponsored by International Society for Digital Imaging of the Skin (ISDIS), an international effort to improve melanoma diagnosis. The purpose of this research was to design a Convolutional Neural Network with a high level of accuracy to help professionals in medicine with a melanoma diagnosis, in this case, it was possible to get accuracy up to 88.75 %.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: En esta investigación se propone un diseño de arquitectura para el reconocimiento de melanoma (un tipo de cáncer de piel) mediante el uso de una CNN (Red Neuronal Convolucional), trabajo que será de utilidad para investigadores en futuros proyectos en áreas como biomedicina, aprendizaje automático, y otras relacionadas avanzando en sus estudios y mejorando esta propuesta. La CNN se utiliza principalmente en visión por computador (una rama de la inteligencia artificial), aplicada al reconocimiento de patrones en lunares de la piel y para determinar la existencia de melanoma maligno, o no, con un conjunto de datos limitado. El clasificador CNN diseñado y entrenado en este caso se construyó mediante un par de capas de convolución y acumulación para formar una red neuronal de seis capas seguida de la totalmente conectada para completar la arquitectura con un clasificador de salida. La base de datos propuesta para entrenar nuestra CNN es la mayor colección pública de imágenes dermatoscópicas de melanomas y otras lesiones cutáneas, proporcionada por la International Skin Imaging Collaboration (ISIC), patrocinada por la International Society for Digital Imaging of the Skin (ISDIS), un esfuerzo internacional para mejorar el diagnóstico del melanoma. El propósito de esta investigación fue diseñar una Red Neuronal Convolucional con un alto nivel de precisión para ayudar a los profesionales de la medicina con un diagnóstico de melanoma, en este caso, fue posible obtener una precisión hasta del 88,75 %.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Convolution]]></kwd>
<kwd lng="en"><![CDATA[Convolutional Neural Networks]]></kwd>
<kwd lng="en"><![CDATA[Dermoscopy]]></kwd>
<kwd lng="en"><![CDATA[Melanoma Detection]]></kwd>
<kwd lng="es"><![CDATA[Convolución]]></kwd>
<kwd lng="es"><![CDATA[Redes Neuronales Convolucionales]]></kwd>
<kwd lng="es"><![CDATA[Dermatoscopia]]></kwd>
<kwd lng="es"><![CDATA[Detección de Melanoma]]></kwd>
</kwd-group>
</article-meta>
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