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.

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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

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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