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Evaluation dataset for histopathology image classification

A dataset composed of 35334 breast histopathology images at zoom x5 (1.76 µm per pixel) distributed amongst 23 imbalanced classes, which include both common tumor and benign lesions.

Data and Resources

Cite this as

Adrien Nivaggioli, Nicolas Pozin, Rémy Peyret, Stéphane Sockeel, Marie Sockeel, Nicolas Nerrienet, Marceau Clavel, Clara Simmat, Catherine Miquel (2024). Dataset: Evaluation dataset for histopathology image classification. https://doi.org/10.57702/fip7t85p

DOI retrieved: December 17, 2024

Additional Info

Field Value
Created December 17, 2024
Last update December 17, 2024
Defined In https://doi.org/10.48550/arXiv.2303.05180
Author Adrien Nivaggioli
More Authors
Nicolas Pozin
Rémy Peyret
Stéphane Sockeel
Marie Sockeel
Nicolas Nerrienet
Marceau Clavel
Clara Simmat
Catherine Miquel