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 available | 4 Nov 2022 |
|---|---|
| Publisher | Harvard Dataverse |
Funding
| Funders |
|---|
| Commission |
| Council of Tampere Region |
| European Regional Development Fund React-EU |
| European Commission |
Field of science, Statistics Finland
- 3111 Biomedicine
Research output
- 1 Article
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H&E Multi-Laboratory Staining Variance Exploration with Machine Learning
Prezja, F., Pölönen, I., Äyrämö, S., Ruusuvuori, P. & Kuopio, T., Aug 2022, In: Applied Sciences (Switzerland). 12, 15, 25 p., 7511.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile10 Citations (Scopus)33 Downloads (Pure)
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