ADP: Atlas of Digital Pathology

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ADP: Atlas of Digital Pathology

17,668 histological patch images extracted from 100 slides annotated with up to 57 hierarchical tissue types (HTTs) from different organs - the aim is to provide training data for supervised multi-label learning of tissue types in a digitized whole slide image (Hosseini, Chan, Tse, Tang, Deng, Norouzi, Rowsell, Plataniotis, Damaskinos)

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