<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of hal-01220970</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-05-21T05:36:31+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Segmentation of Small Animal Computed Tomography Images Using Original CT Values and Converted Grayscale Values</title>
            <author role="aut">
              <persName>
                <forename type="first">Guoqiang</forename>
                <surname>Ma</surname>
              </persName>
              <email type="md5">48ff3371c0390cbc21f7d4bde97ee31c</email>
              <email type="domain">163.com</email>
              <idno type="idhal" notation="numeric">972314</idno>
              <idno type="halauthorid" notation="string">960464-972314</idno>
              <affiliation ref="#struct-440719"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Naixiang</forename>
                <surname>Li</surname>
              </persName>
              <idno type="halauthorid">960465-0</idno>
              <affiliation ref="#struct-440719"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Xiaojuan</forename>
                <surname>Wang</surname>
              </persName>
              <idno type="halauthorid">960466-0</idno>
              <affiliation ref="#struct-440352"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Hal</forename>
                <surname>Ifip</surname>
              </persName>
              <email type="md5">2073ac78024b6e13f2714db96e9b1e63</email>
              <email type="domain">inria.fr</email>
            </editor>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2015-10-27 10:55:38</date>
              <date type="whenModified">2018-01-17 10:43:35</date>
              <date type="whenReleased">2015-10-27 11:00:45</date>
              <date type="whenProduced">2013-09-18</date>
              <date type="whenEndEmbargoed">2017-01-01</date>
              <ref type="file" target="https://inria.hal.science/hal-01220970v1/document">
                <date notBefore="2017-01-01"/>
              </ref>
              <ref type="file" subtype="author" n="1" target="https://inria.hal.science/hal-01220970v1/file/978-3-642-54344-9_54_Chapter.pdf" id="file-1220970-1299231">
                <date notBefore="2017-01-01"/>
              </ref>
              <ref type="externalLink" target="https://link.springer.com/content/pdf/10.1007%2F978-3-642-54344-9_54.pdf"/>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="200187">
                <persName>
                  <forename>Hal</forename>
                  <surname>Ifip</surname>
                </persName>
                <email type="md5">2073ac78024b6e13f2714db96e9b1e63</email>
                <email type="domain">inria.fr</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-01220970</idno>
            <idno type="halUri">https://inria.hal.science/hal-01220970</idno>
            <idno type="halBibtex">ma:hal-01220970</idno>
            <idno type="halRefHtml">&lt;i&gt;7th International Conference on Computer and Computing Technologies in Agriculture (CCTA)&lt;/i&gt;, Sep 2013, Beijing, China. pp.470-477, &lt;a target="_blank" href="https://dx.doi.org/10.1007/978-3-642-54344-9_54"&gt;&amp;#x27E8;10.1007/978-3-642-54344-9_54&amp;#x27E9;&lt;/a&gt;</idno>
            <idno type="halRef">7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. pp.470-477, &amp;#x27E8;10.1007/978-3-642-54344-9_54&amp;#x27E9;</idno>
            <availability status="restricted">
              <licence target="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0 - Attribution<ref corresp="#file-1220970-1299231"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="IFIP">IFIP - International Federation for Information Processing</idno>
            <idno type="stamp" n="IFIP-AICT" corresp="IFIP">IFIP Advances in Information and Communication Technology</idno>
            <idno type="stamp" n="IFIP-TC" corresp="IFIP">IFIP Technical Committees </idno>
            <idno type="stamp" n="IFIP-AICT-419" corresp="IFIP-AICT">Computer and Computing Technologies in Agriculture VII - Part I</idno>
            <idno type="stamp" n="IFIP-TC5" corresp="IFIP-TC">IFIP TC5: Information Technology Applications</idno>
            <idno type="stamp" n="IFIP-WG5-14">IFIP WG5.14 : Advanced Information Processing for Agriculture</idno>
            <idno type="stamp" n="IFIP-CCTA" corresp="IFIP">CCTA: Computer and Computing Technologies in Agriculture</idno>
          </seriesStmt>
          <notesStmt>
            <note type="audience" n="2">International</note>
            <note type="invited" n="0">No</note>
            <note type="popular" n="0">No</note>
            <note type="peer" n="1">Yes</note>
            <note type="proceedings" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">Segmentation of Small Animal Computed Tomography Images Using Original CT Values and Converted Grayscale Values</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Guoqiang</forename>
                    <surname>Ma</surname>
                  </persName>
                  <email type="md5">48ff3371c0390cbc21f7d4bde97ee31c</email>
                  <email type="domain">163.com</email>
                  <idno type="idhal" notation="numeric">972314</idno>
                  <idno type="halauthorid" notation="string">960464-972314</idno>
                  <affiliation ref="#struct-440719"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Naixiang</forename>
                    <surname>Li</surname>
                  </persName>
                  <idno type="halauthorid">960465-0</idno>
                  <affiliation ref="#struct-440719"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Xiaojuan</forename>
                    <surname>Wang</surname>
                  </persName>
                  <idno type="halauthorid">960466-0</idno>
                  <affiliation ref="#struct-440352"/>
                </author>
              </analytic>
              <monogr>
                <title level="m">IFIP Advances in Information and Communication Technology</title>
                <meeting>
                  <title>7th International Conference on Computer and Computing Technologies in Agriculture (CCTA)</title>
                  <date type="start">2013-09-18</date>
                  <date type="end">2013-09-20</date>
                  <settlement>Beijing</settlement>
                  <country key="CN">China</country>
                </meeting>
                <editor>Daoliang Li</editor>
                <editor>Yingyi Chen</editor>
                <imprint>
                  <publisher>Springer</publisher>
                  <biblScope unit="serie">Computer and Computing Technologies in Agriculture VII</biblScope>
                  <biblScope unit="volume">AICT-419</biblScope>
                  <biblScope unit="issue">Part I</biblScope>
                  <biblScope unit="pp">470-477</biblScope>
                  <date type="datePub">2014</date>
                </imprint>
              </monogr>
              <idno type="doi">10.1007/978-3-642-54344-9_54</idno>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <keywords scheme="author">
                <term xml:lang="en">k-means clustering</term>
                <term xml:lang="en">Computed tomography</term>
                <term xml:lang="en">Image segmentation</term>
              </keywords>
              <classCode scheme="halDomain" n="info">Computer Science [cs]</classCode>
              <classCode scheme="halTypology" n="COMM">Conference papers</classCode>
              <classCode scheme="halOldTypology" n="COMM">Conference papers</classCode>
              <classCode scheme="halTreeTypology" n="COMM">Conference papers</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>Medical image segmentation is the foundation of normal and diseased                            tissue 3D visualization, operation simulation and visual operation. In                            this paper, we comprehensively use two values that represent the same                            object (body tissue), to segment by the same algorithm implementation.                            The original CT images are downloaded from the web source, the dog rib                            tumor CT scan image by GE medical systems, all the experiment of dataset                            of 312 thoracic CT scans. The core of the segmentation is k-means                            clustering algorithm. The segmentation process consisted of two phases:                            (1) convert CT value to JPG gray value or not use the original CT value                            as the data sets for clustering; (2) segmentation bone tissue using the                            new k-means clustering algorithm program which is implemented with                            MATLAB 2012a programming language and for two-dimensional data matrix                            directly. The experiment produced strikingly different results. These                            results may be indicating that not only the segmentation algorithm                            of CT image is important, but also the data for segmentation                            is important too.</p>
            </abstract>
            <particDesc>
              <org type="consortium">TC 5</org>
              <org type="consortium">WG 5.14</org>
            </particDesc>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="laboratory" xml:id="struct-440719" status="VALID">
          <orgName>Dept. of Computer Science &amp; Information Engineering</orgName>
          <desc>
            <address>
              <addrLine>Tianjin 300384 China</addrLine>
              <country key="CN"/>
            </address>
          </desc>
          <listRelation>
            <relation active="#struct-440352" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-440352" status="VALID">
          <orgName>Tianjin Agricultural University</orgName>
          <orgName type="acronym">TJAU</orgName>
          <desc>
            <address>
              <country key="CN"/>
            </address>
            <ref type="url">http://school.cucas.edu.cn/home?sid=724</ref>
          </desc>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>