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    <responseDate>2026-10-15T11:51:23Z</responseDate>
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                <identifier>oai:data.mendeley.com/8wz5dttyyz.2</identifier>
                <datestamp>2023-09-25T07:30:23Z</datestamp>
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    <dc:creator>Prezja, Fabi</dc:creator>
    <dc:title>Model and Materials of &apos;&apos;Improved Accuracy in Colorectal Cancer Tissue Decomposition through Refinement of Established Deep Learning Solutions&apos;&apos;</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset contains the highest performing trained model definition, weights, and additional materials from the Nature SR study titled &apos;&apos;Improved Accuracy in Colorectal Cancer Tissue Decomposition through Refinement of Established Deep Learning Solutions&apos;&apos;. Please refer to the associated article for further details.</dc:description>
    <dc:subject>Machine Learning</dc:subject>
    <dc:subject>Histopathology</dc:subject>
    <dc:subject>Colorectal Cancer</dc:subject>
    <dc:contributor>Äyrämö, Sami</dc:contributor>
    <dc:contributor>Pölönen, Ilkka</dc:contributor>
    <dc:contributor>Ojala, Timo</dc:contributor>
    <dc:contributor>Lahtinen, Suvi</dc:contributor>
    <dc:contributor>Ruusuvuori, Pekka</dc:contributor>
    <dc:contributor>Kuopio, Teijo</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/8wz5dttyyz.2</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/8wz5dttyyz.2</dc:identifier>
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    <dc:date>2023-09-25T07:30:23Z</dc:date>
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