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    <identifier>10.57760/sciencedb.19700</identifier>
    <datestamp>2025-06-12T13:53:35Z</datestamp>
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  <dc:date>2025-06-12</dc:date>
  <dc:title>Comprehensive Assessment of Chronic Gastritis on WSI Data</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.19700</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset contains 800 whole slide images (WSIs on 40x, 600 from gastric antrum and 200 from gastric corpus)&amp;nbsp;for assessing &amp;quot;Inflammation (Task 1)&amp;quot;, &amp;quot;Activity (Task 2)&amp;quot;, &amp;quot;Atrophy (Task 3)&amp;quot; and &amp;quot;Intestinal Metaplasia (Task 4)&amp;quot; grade of chronic gastritis (CG) without identified information, which are individually classified into &amp;quot;Normal&amp;quot;, &amp;quot;Mild&amp;quot;, &amp;quot;Moderate&amp;quot;, &amp;quot;Severe&amp;quot; based on patients' histological alterations according to the updated Sydney System. Given the challenges of biopsying completely normal gastric mucosa, devoid of chronic inflammation cells and neutrophils, in real-world clinical settings, our dataset did not encompass such samples. Therefore, task1 and task2 are additionally classified into &amp;quot;Normal to Mild&amp;quot;, &amp;quot;Moderate&amp;quot;, &amp;quot;Severe&amp;quot;. Please see https://github.com/nicedoctor123/Gastritis-MIL-pathology for the details on dealing with these WSIs. We request that you cite our work published in Patterns when using this dataset.</dc:description>
  <dc:subject>Deep learning; Chronic Gastritis; whole slide images; WSI</dc:subject>
  <dc:creator>Kun Xia</dc:creator>
  <dc:creator>Yihuang Hu</dc:creator>
  <dc:creator>Liangsheng Wang</dc:creator>
  <dc:creator>Hongzhi Xu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1016/j.patter.2025.101286</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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