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

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

Description

We provide the generated dataset used for supervised 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, and C3 for colon. 'PC' stands for the principal component. For feature extraction specifications, please see the original design in the related article. Features have been extracted independently for each tissue type.
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Year of publication

2022

Authors

Harvard Dataverse - Publisher

Pekka Ruusuvuori - Creator

Unknown organization

Fabi Prezja - Creator

Ilkka Pölönen - Creator

Sami Äyrämö - Creator

Teijo Kuopio - Creator

Other information

Fields of science

Biomedicine

Language

English

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

machine learning, artificial intelligence, histopathology, Computer and Information Science, Medicine Health and Life Sciences
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