<?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>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462023000100237</article-id>
<article-id pub-id-type="doi">10.13053/cys-27-1-4535</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Edges-enhanced Convolutional Neural Network for Multiple Sclerosis Lesions Segmentation]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ulloa-Poblete]]></surname>
<given-names><![CDATA[Gustavo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Allende-Cid]]></surname>
<given-names><![CDATA[Héctor]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Veloz]]></surname>
<given-names><![CDATA[Alejandro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Allende]]></surname>
<given-names><![CDATA[Héctor]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Técnica Federico Santa María  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Chile</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Pontificia Universidad Católica de Valparaíso  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Chile</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de Valparaíso  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Chile</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2023</year>
</pub-date>
<volume>27</volume>
<numero>1</numero>
<fpage>237</fpage>
<lpage>245</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462023000100237&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462023000100237&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462023000100237&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Multiple sclerosis (MS) segmentation is a crucial task that helps to monitor the progression of that condition and to investigate how efficient is the treatment provided to a patient. Convolutional Neural Networks (CNN) have been successfully employed in MS lesion segmentation in recent years, but still have problems in segmenting voxels in the boundaries of the lesions. In this work, we present a modified CNN that assign more importance in learning hard-to-classify voxels close to the boundaries of the MS lesions. During the training process, we performed a stratified sampling to dynamically increase the penalization of voxels in the neighborhood around MS lesions boundaries. We prove that the stratified sampling strategy increases the representation of voxels near to the neighborhood of the edges and retrieves more accurate results in terms of Dice similarity coefficient compared to existing methods that uses uniform sampling. To test our approach, the 2015 Longitudinal MS Lesion Segmentation Challenge dataset was used, obtaining   Dice &gt; 0.7, which is comparable to the performance of human experts.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Convolutional neural networks]]></kwd>
<kwd lng="en"><![CDATA[focal loss]]></kwd>
<kwd lng="en"><![CDATA[multiple sclerosis]]></kwd>
<kwd lng="en"><![CDATA[lesions segmentation]]></kwd>
<kwd lng="en"><![CDATA[magnetic resonance imaging]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Acar]]></surname>
<given-names><![CDATA[Z. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Basççiftçi]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Ekmekci]]></surname>
<given-names><![CDATA[A. H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A convolutional neural network model for identifying multiple sclerosis on brain FLAIR MRI]]></article-title>
<source><![CDATA[Sustainable Computing: Informatics and Systems]]></source>
<year>2022</year>
<volume>35</volume>
<page-range>100706</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Birenbaum]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Greenspan]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Multi-view longitudinal CNN for multiple sclerosis lesion segmentation]]></article-title>
<source><![CDATA[Engineering Applications of Artificial Intelligence]]></source>
<year>2017</year>
<volume>65</volume>
<page-range>111-8</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Carass]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Roy]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Jog]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Cuzzocreo]]></surname>
<given-names><![CDATA[J. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Magrath]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Gherman]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Button]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Nguyen]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Prados]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Sudre]]></surname>
<given-names><![CDATA[C. H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Longitudinal multiple sclerosis lesion segmentation: Resource and challenge]]></article-title>
<source><![CDATA[NeuroImage]]></source>
<year>2017</year>
<volume>148</volume>
<page-range>77-102</page-range></nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chollet]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<source><![CDATA[Keras]]></source>
<year>2015</year>
</nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Danelakis]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Theoharis]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Verganelakis]]></surname>
<given-names><![CDATA[D. A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Survey of automated multiple sclerosis lesion segmentation techniques on magnetic resonance imaging]]></article-title>
<source><![CDATA[Computerized Medical Imaging and Graphics]]></source>
<year>2018</year>
<volume>70</volume>
<page-range>83-100</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Daoudi]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Kersten]]></surname>
<given-names><![CDATA[B. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Vonk]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[de Korte]]></surname>
<given-names><![CDATA[C. L.]]></given-names>
</name>
</person-group>
<source><![CDATA[High-frequency photoacoustic and ultrasound imaging of systemic sclerosis patients]]></source>
<year>2019</year>
<conf-name><![CDATA[ Opto-Acoustic Methods and Applications in Biophotonics IV]]></conf-name>
<conf-loc> </conf-loc>
<page-range>1107707</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Filippi]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Bar-Or]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Piehl]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Preziosa]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Solari]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Vukusic]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Rocca]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Multiple sclerosis]]></article-title>
<source><![CDATA[Nature Reviews Disease Primers]]></source>
<year>2018</year>
<volume>4</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Giorgio]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Stefano]]></surname>
<given-names><![CDATA[N. D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Effective utilization of MRI in the diagnosis and management of multiple sclerosis]]></article-title>
<source><![CDATA[Neurologic Clinics]]></source>
<year>2018</year>
<volume>36</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>27-34</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jenkinson]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Bannister]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Brady]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Smith]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Improved optimization for the robust and accurate linear registration and motion correction of brain images]]></article-title>
<source><![CDATA[NeuroImage]]></source>
<year>2002</year>
<volume>17</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>825-41</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Goyal]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Girshick]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[He]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Dollar]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Focal loss for dense object detection]]></article-title>
<source><![CDATA[IEEE Transactions on Pattern Analysis and Machine Intelligence]]></source>
<year>2020</year>
<volume>42</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>318-27</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nai]]></surname>
<given-names><![CDATA[Y. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Teo]]></surname>
<given-names><![CDATA[B. W.]]></given-names>
</name>
<name>
<surname><![CDATA[Tan]]></surname>
<given-names><![CDATA[N. L.]]></given-names>
</name>
<name>
<surname><![CDATA[O'Doherty]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Stephenson]]></surname>
<given-names><![CDATA[M. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Thian]]></surname>
<given-names><![CDATA[Y. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Chiong]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Reilhac]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Comparison of metrics for the evaluation of medical segmentations using prostate MRI dataset]]></article-title>
<source><![CDATA[Computers in Biology and Medicine]]></source>
<year>2021</year>
<volume>134</volume>
<page-range>104497</page-range></nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ochoa-Montiel]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Olague]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Sossa]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Expert knowledge for the recognition of leukemic cells]]></article-title>
<source><![CDATA[Applied Optics]]></source>
<year>2020</year>
<volume>59</volume>
<numero>14</numero>
<issue>14</issue>
<page-range>4448-60</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ochoa-Montiel]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Sossa]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Olague]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Chan Ley]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Menéndez]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Symbolic learning using brain programming for the recognition of leukemia images]]></article-title>
<source><![CDATA[Computación y Sistemas]]></source>
<year>2021</year>
<volume>25</volume>
<numero>4</numero>
<issue>4</issue>
</nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tovar-Corona]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Flores-Alonso]]></surname>
<given-names><![CDATA[S. I.]]></given-names>
</name>
<name>
<surname><![CDATA[Luna-García]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Convolutional neural network for improvement of heart valve disease detection]]></article-title>
<source><![CDATA[Computación y Sistemas]]></source>
<year>2022</year>
<volume>26</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ulloa]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Veloz]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Allende-Cid]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Monge]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Allende]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Efficient methodology based on convolutional neural networks with augmented penalization on hard-to-classify boundary voxels on the task of brain lesion segmentation]]></article-title>
<source><![CDATA[Pattern Recognition]]></source>
<year>2022</year>
<page-range>338-47</page-range></nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Valverde]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Cabezas]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Roura]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[González-Villa]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Pareto]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Vilanova]]></surname>
<given-names><![CDATA[J. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Ramio-Torrenta]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Àlex]]></surname>
<given-names><![CDATA[Rovira]]></given-names>
</name>
<name>
<surname><![CDATA[Oliver]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Llado]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Improving automated multiple sclerosis lesion segmentation with a cascaded 3d convolutional neural network approach]]></article-title>
<source><![CDATA[NeuroImage]]></source>
<year>2017</year>
<volume>155</volume>
<page-range>159-68</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yeghiazaryan]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Voiculescu]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Family of boundary overlap metrics for the evaluation of medical image segmentation]]></article-title>
<source><![CDATA[Journal of Medical Imaging]]></source>
<year>2018</year>
<volume>5</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Y&#305;lmaz Acar]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Basççiftçi]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Ekmekci]]></surname>
<given-names><![CDATA[A. H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Future activity prediction of multiple sclerosis with 3d mri using 3d discrete wavelet transform]]></article-title>
<source><![CDATA[Biomedical Signal Processing and Control]]></source>
<year>2022</year>
<volume>78</volume>
<page-range>103-940</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zaleta Gallardo]]></surname>
<given-names><![CDATA[C. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Garca Herrera]]></surname>
<given-names><![CDATA[M. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Vera Acosta]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Mendoza Flores]]></surname>
<given-names><![CDATA[D. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Vera Santos]]></surname>
<given-names><![CDATA[O. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Sánchez Ávalos]]></surname>
<given-names><![CDATA[J. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Pérez Careta]]></surname>
<given-names><![CDATA[M. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Pérez Careta]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<source><![CDATA[3D Multiple Sclerosis Image Analysis Based on Probabilistic Methods for a 4F Array]]></source>
<year>2018</year>
</nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhou]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Ruan]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Canu]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A review: Deep learning for medical image segmentation using multi-modality fusion]]></article-title>
<source><![CDATA[Array]]></source>
<year>2019</year>
<volume>3-4</volume>
<page-range>100-004</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
