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most citedH&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression

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eess.IV2022★ 1 cited

H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression

Niccoló Marini, Manfredo Atzori, Sebastian Otálora +2

Computational pathology is a domain that aims to develop algorithms to automatically analyze large digitized histopathology images, called whole slide images (WSI). WSIs are produc…