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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.

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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

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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