<?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>S1405-55462018000100291</article-id>
<article-id pub-id-type="doi">10.13053/cys-22-1-2560</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Microcalcifications Detection using Image Processing]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Quintanilla-Domínguez]]></surname>
<given-names><![CDATA[Joel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ruiz-Pinales]]></surname>
<given-names><![CDATA[José]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Barrón-Adame]]></surname>
<given-names><![CDATA[José Miguel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Guzmán-Cabrera]]></surname>
<given-names><![CDATA[Rafael]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Politécnica de Juventino Rosas  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Guanajuato Campus Irapuato-Salamanca División de Ingenierías]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Tecnológica del Suroeste de Guanajuato Departamento de Tecnologías de la Información y Comunicación ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2018</year>
</pub-date>
<volume>22</volume>
<numero>1</numero>
<fpage>291</fpage>
<lpage>300</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462018000100291&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462018000100291&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462018000100291&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Breast cancer is the most common cause of death in women and the second leading cause of cancer deaths worldwide. Primary prevention in the early stages of the disease becomes complex as the causes remain almost unknown. However, some typical signatures of this disease, such as masses and microcalcifications appearing on mammograms, can be used to improve early diagnostic techniques, which is critical for women&#8217;s quality of life. X-ray mammography is the main test used for screening and early diagnosis, and its analysis and processing are the keys to improving breast cancer prognosis. In this work, an effective methodology to detect microcalcifications in digitized mammograms is presented. This methodology is based on the synergy of image processing, pattern recognition and artificial intelligence. The methodology consists in four stages: image selection, image enhancement and feature extraction based on mathematical morphology operations applying coordinate logic filters, image segmentation based on partitional clustering methods such as k-means and self organizing maps and finally a classifier such as an artificial metaplasticity multilayer perceptron. The proposed system constitutes a promising approach for the detection of Microcalcifications. The experimental results show that the proposed methodology can locate Microcalcifications in an efficient way. The best values obtained in the experimental results are: accuracy 99.93% and specificity 99.95%, These results are very competitive with those reported in the state of the art.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Microcalcifications]]></kwd>
<kwd lng="en"><![CDATA[image processing]]></kwd>
<kwd lng="en"><![CDATA[breast cancer]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pal]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Bhowmick]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Patel]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Pal]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Das]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A multi-stage neural network aided system for detection of microcalcifications in digitized mammograms]]></article-title>
<source><![CDATA[Neurocomputing]]></source>
<year>2008</year>
<volume>71</volume>
<numero>13-15</numero>
<issue>13-15</issue>
<page-range>2625-34</page-range></nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wei]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Nishikawa]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Microcalcification classification assisted by content-based image retrieval for breast cancer diagnosis]]></article-title>
<source><![CDATA[Pattern Recognition]]></source>
<year>2009</year>
<volume>42</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>1126-32</page-range></nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Papadopoulos]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Fotiadis]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Costaridou]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Improvement of microcalcification cluster detection in mammography utilizing image enhancement techniques]]></article-title>
<source><![CDATA[Computers in Biology and Medicine]]></source>
<year>2008</year>
<volume>38</volume>
<numero>10</numero>
<issue>10</issue>
<page-range>1045-55</page-range></nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bhattacharya]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Das]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Fuzzy logic based segmentation of microcalcification in breast using digital mammograms considering multiresolution]]></source>
<year>2007</year>
<conf-name><![CDATA[ International Machine Vision and Image Processing Conference]]></conf-name>
<conf-loc> </conf-loc>
<page-range>98-105</page-range></nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sung-Nien]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Kuan-Yuei]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Yu-Kun]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Detection of microcalcifications in digital mammograms using wavelet filter and markov random field model]]></article-title>
<source><![CDATA[Computerized Medical Imaging and Graphics]]></source>
<year>2006</year>
<volume>30</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>163-73</page-range></nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Guzman-Cabrera]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Guzman-Sepulveda]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Torres-Cisneros]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[May-Arrioja]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Ruiz- Pinales]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Ibarra-Manzano]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Avina-Cervantes]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Gonzalez-Parada]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Digital image processing technique for breast cancer detection]]></article-title>
<source><![CDATA[International Journal of Thermophysics]]></source>
<year>2013</year>
<volume>34</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>1519-31</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Guzman-Cabrera]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Guzman-Sepulveda]]></surname>
<given-names><![CDATA[J.R.]]></given-names>
</name>
<name>
<surname><![CDATA[Torres-Cisneros]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[May-Arrioja]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Ruiz- Pinales]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Ibarra-Manzano]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Avina-Cervantes]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Pattern recognition in photoacoustic dataset]]></article-title>
<source><![CDATA[International Journal of Thermophysics]]></source>
<year>2013</year>
<volume>34</volume>
<numero>8-9</numero>
<issue>8-9</issue>
<page-range>1638-45</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Guzman-Cabrera]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Guzman-Sepulveda]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Gonzalez-Parada]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Rosales-Garcia]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Torres-Cisneros]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Baleanu]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Digital processing of thermographic images for medical applications]]></article-title>
<source><![CDATA[Revista de Chimie]]></source>
<year>2016</year>
<volume>67</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>53-6</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cheng]]></surname>
<given-names><![CDATA[H.D.]]></given-names>
</name>
<name>
<surname><![CDATA[Cai]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Hu]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Lou]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Computer-aided detection and classification of microcalcifications in mammograms: a survey]]></article-title>
<source><![CDATA[Pattern Recognition]]></source>
<year>2003</year>
<volume>36</volume>
<numero>12</numero>
<issue>12</issue>
<page-range>2967-91</page-range></nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kohonen]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The self organization map (SOM)]]></article-title>
<source><![CDATA[Proceedings of the IEEE]]></source>
<year>1990</year>
<volume>78</volume>
<numero>9</numero>
<issue>9</issue>
<page-range>1464-80</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mertzios]]></surname>
<given-names><![CDATA[B.G.]]></given-names>
</name>
<name>
<surname><![CDATA[Tsirikolias]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<source><![CDATA[Applications of coordinate logic filters in image analysis and pattern recognition]]></source>
<year>2001</year>
<conf-name><![CDATA[ ISPA 2nd International Symposium on Image and Signal Processing and Analysis]]></conf-name>
<conf-loc> </conf-loc>
<page-range>125-30</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wirth]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Fraschini]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Lyon]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Contrast enhancement of microcalcifications in mammograms using morphological enhancement and non-flat structuring elements]]></source>
<year>2004</year>
<conf-name><![CDATA[ 17th IEEE Symposium on Computer-Based Medical System]]></conf-name>
<conf-loc> </conf-loc>
<page-range>134-9</page-range></nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gonzalez]]></surname>
<given-names><![CDATA[R.C.]]></given-names>
</name>
<name>
<surname><![CDATA[Woods]]></surname>
<given-names><![CDATA[R.E.]]></given-names>
</name>
</person-group>
<source><![CDATA[Digital image processing]]></source>
<year>2002</year>
<publisher-name><![CDATA[Prentice Hall]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ojeda-Magaña]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Quintanilla-Domínguez]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Ruelas]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Andina]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<source><![CDATA[Images sub-segmentation with the pfcm clustering algorithm]]></source>
<year>2009</year>
<conf-name><![CDATA[ 7th IEEE International Conference on Industrial Informatics]]></conf-name>
<conf-loc> </conf-loc>
<page-range>499-503</page-range></nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bougioukos]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Glotsos]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Kostopoulos]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Daskalakis]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Kalatzis]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Dimitropoulos]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Nikiforidis]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Cavouras]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Fuzzy c-means-driven fhce contextual segmentation method for mammographic microcalcification detection]]></article-title>
<source><![CDATA[The Imaging Science Journal]]></source>
<year>2010</year>
<volume>58</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>146-54</page-range></nlm-citation>
</ref>
<ref id="B16">
<label>16</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Andina]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Álvarez-Vellisco]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Jevti&#263;]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Fombellida]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial metaplasticity can improve artificial neural network learning]]></article-title>
<source><![CDATA[Intelligent Automation and Soft Computing]]></source>
<year>2009</year>
<volume>15</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>681-94</page-range></nlm-citation>
</ref>
<ref id="B17">
<label>17</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Andina]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Martinez-Antorrena]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Melgar]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
</person-group>
<source><![CDATA[Importance sampling in neural detector training phase]]></source>
<year>2004</year>
<conf-name><![CDATA[ World Automation Congress]]></conf-name>
<conf-loc> </conf-loc>
<page-range>43-8</page-range></nlm-citation>
</ref>
<ref id="B18">
<label>18</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fombellida]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Torres-Alegre]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Piñuela-Izquierdo]]></surname>
<given-names><![CDATA[A.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Andina]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<source><![CDATA[Artificial Metaplasticity for Deep Learning: Application to WBCD Breast Cancer Database Classification]]></source>
<year>2015</year>
<page-range>399-408</page-range><publisher-name><![CDATA[Springer International Publishing]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B19">
<label>19</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Richard]]></surname>
<given-names><![CDATA[M.D.]]></given-names>
</name>
<name>
<surname><![CDATA[Lippmann]]></surname>
<given-names><![CDATA[R.P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Neural network classifiers estimate bayesian a posteriori probabilities]]></article-title>
<source><![CDATA[Neural computation]]></source>
<year>1991</year>
<volume>3</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>461-83</page-range></nlm-citation>
</ref>
<ref id="B20">
<label>20</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rojas]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A Short Proof of the Posterior Probability Property of Classifier Neural Networks]]></article-title>
<source><![CDATA[Neural Computation]]></source>
<year>1996</year>
<volume>8</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>41-3</page-range></nlm-citation>
</ref>
<ref id="B21">
<label>21</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fukunaga]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<source><![CDATA[Introduction to Statistical Pattern Recognition]]></source>
<year>1990</year>
<edition>2nd</edition>
<publisher-name><![CDATA[Academic Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B22">
<label>22</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Marcano-Cedeño]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Quintanilla-Domínguez]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Andina]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<source><![CDATA[Wood defects classification using artificial metaplasticity neural network]]></source>
<year>2009</year>
<conf-name><![CDATA[ 35th Annual Conference of the IEEE Industrial Electronics Society, IECON]]></conf-name>
<conf-loc> </conf-loc>
<page-range>3422-7</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
