<?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>0864-0300</journal-id>
<journal-title><![CDATA[Revista Cubana de Investigaciones Biomédicas]]></journal-title>
<abbrev-journal-title><![CDATA[Rev Cubana Invest Bioméd]]></abbrev-journal-title>
<issn>0864-0300</issn>
<publisher>
<publisher-name><![CDATA[ECIMED]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0864-03002021000200014</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Perspectivas recientes del análisis morfológico automatizado en eritrocitos]]></article-title>
<article-title xml:lang="en"><![CDATA[Recent perspectives of the automated morphological analysis of erythrocytes]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Paz Soto]]></surname>
<given-names><![CDATA[Yaíma]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
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<contrib contrib-type="author">
<name>
<surname><![CDATA[Herold García]]></surname>
<given-names><![CDATA[Silena]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Guantánamo  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Oriente  ]]></institution>
<addr-line><![CDATA[Santiago de Cuba ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2021</year>
</pub-date>
<volume>40</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S0864-03002021000200014&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S0864-03002021000200014&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S0864-03002021000200014&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Introducción: La anemia drepanocítica es una anomalía genética hereditaria de la hemoglobina, que se caracteriza por la presencia de glóbulos rojos que pierden su forma redonda característica y adquieren forma de hoz. Aunque aún no tiene cura definitiva, se desarrollan varias acciones con el propósito de mejorar la calidad de vida y la atención médica a los pacientes.  Objetivos:  Conocer los aspectos referidos al análisis automatizado de formas en eritrocitos en los últimos años y proporcionar una visión en el caso de la drepanocitosis, que permita determinar las limitaciones actuales, principalmente para el empleo de herramientas automatizadas en el seguimiento clínico de pacientes con esta enfermedad.  Método:  Se realizó la revisión sistemática de la literatura de los años 2018, 2019 y dos aportes del 2020, en tres bases de datos electrónicas de amplio alcance: IEEEXplore, Google Scholar y SCOPUS. Los documentos se analizaron teniendo en cuenta preguntas específicas para obtener criterios generales sobre la situación de interés.  Conclusiones:  Los análisis realizados revelan un volumen creciente de investigaciones en este campo, con resultados de varios países. El examen detallado de las investigaciones permitió identificar problemas referidos a las métricas de evaluación empleadas, a los algoritmos para el análisis y procesamiento de imágenes, empleo del criterio médico, bases de datos empleadas y, herramientas para el análisis automático de formas de eritrocitos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Introduction:  Sickle-cell anemia is a genetic hereditary anomaly of hemoglobin characterized by red blood cells that lose their normal round morphology and acquire a sickle shape. Although no cure is so far available, several actions are in progress to improve the quality of life and medical care of patients.  Objective:  Become acquainted with aspects related to the automated morphological analysis of erythrocytes in recent years, particularly in the context of sickle-cell anemia, allowing to determine the current limitations, mainly in the use of automated tools for the clinical follow-up of sickle-cell anemia patients.  Methods:  A systematic review was conducted of the literature published in the years 2018, 2019, and two contributions from 2020, in three broad scope electronic databases: IEEEXplore, Google Scholar and SCOPUS. The documents were analyzed on the basis of specific questions to obtain general criteria about the situation of interest.  Conclusions:  The analysis conducted revealed a growing volume of research in this field, with results in several countries. Detailed examination of the studies led to identification of problems related to the evaluation metrics used, the algorithms for the analysis and processing of images, the use of medical criteria, the databases used and tools for the automated morphological analysis of erythrocytes.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[análisis morfológico de eritrocitos]]></kwd>
<kwd lng="es"><![CDATA[revisión sistemática]]></kwd>
<kwd lng="es"><![CDATA[análisis automático de forma]]></kwd>
<kwd lng="es"><![CDATA[drepanocitosis]]></kwd>
<kwd lng="en"><![CDATA[morphological analysis of erythrocytes]]></kwd>
<kwd lng="en"><![CDATA[systematic review]]></kwd>
<kwd lng="en"><![CDATA[automated morphological analysis]]></kwd>
<kwd lng="en"><![CDATA[sickle-cell anemia]]></kwd>
</kwd-group>
</article-meta>
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