Multi-Laboratory Hematoxylin and Eosin Staining Variance Unsupervised Machine Learning Dataset

  • Fabi Prezja (University of Jyväskylä) (Creator)
  • Ilkka Pölönen (Creator)
  • S. Ayrämö (Creator)
  • Pekka Ruusuvuori (Creator)
  • Teijo Kuopio (Creator)

    Dataset

    Description

    We provide the generated dataset used for unsupervised machine learning in the related article. The data are in tabular format and contain all principal components and ground truth labels, per tissue type. Tissue type codes used are; C1 for kidney, C2 for skin, C3 for colon, and 'PC' for the principal component. Please see the original design in the related article for feature extraction specifications. Features have been extracted independently for each tissue type.
    Date made available4 Nov 2022
    PublisherHarvard Dataverse

    Funding

    FundersFunder number
    Commission
    Council of Tampere Region
    European Regional Development Fund React-EU
    European Commission

      Field of science, Statistics Finland

      • 3111 Biomedicine

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