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        <identifier>oai:researchdata.se:doi-10-23698-aida-drbr/0</identifier>
        <datestamp>2020-11-27</datestamp>
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          <dc:type>http://purl.org/dc/dcmitype/Dataset</dc:type>
          <dc:identifier>https://doi.org/10.23698/AIDA/DRBR</dc:identifier>
          <dc:title xml:lang="en">Breast data from the Visual Sweden project DROID</dc:title>
          <dc:creator>https://orcid.org/0000-0002-0128-870X</dc:creator>
          <dc:creator>https://orcid.org/0000-0003-3845-8546</dc:creator>
          <dc:creator>https://orcid.org/0000-0002-7014-8874</dc:creator>
          <dc:creator>https://orcid.org/0000-0001-7250-234X</dc:creator>
          <dc:subject xml:lang="en">Cancer and Oncology</dc:subject>
          <dc:subject xml:lang="sv">Cancer och onkologi</dc:subject>
          <dc:subject xml:lang="en">Medical and Health Sciences</dc:subject>
          <dc:subject xml:lang="sv">Medicin och hälsovetenskap</dc:subject>
          <dc:description xml:lang="en">This dataset consists of 361 whole slide images (WSI) - 296 malignant from women with invasive breast cancer (HER2 neg) and 65 benign. The tumours have been classified with four SNOMED-CT categories based on morphology: invasive duct carcinoma, invasive lobular carcinoma, in situ carcinoma, and others. 4144 separate annotations have been made to segment different tissue structures connected to ontologies.</dc:description>
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          <dc:publisher xml:lang="en">AIDA Data Hub</dc:publisher>
          <dc:publisher xml:lang="sv">AIDA Data Hub</dc:publisher>
          <dc:date>2019-01-09T00:00:00Z</dc:date>
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