Tackling stain variability using CycleGAN-based stain augmentation

Background: Considerable inter- and intra-laboratory stain variability exists in pathology, representing a challenge in development and application of deep learning (DL) approaches. Since tackling all sources of stain variability with manual annotation is not feasible, we here investigated and compa...

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Bibliographic Details
Main Authors: Nassim Bouteldja (Author), David L. Hölscher (Author), Roman D. Bülow (Author), Ian S.D. Roberts (Author), Rosanna Coppo (Author), Peter Boor (Author)
Format: Book
Published: Elsevier, 2022-01-01T00:00:00Z.
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3rd Floor Main Library

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Call Number: A1234.567
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