Tackling stain variability using CycleGAN-based stain augmentation

• Váldodahkkit: Nassim Bouteldja (Dahkki), David L. Hölscher (Dahkki), Roman D. Bülow (Dahkki), Ian S.D. Roberts (Dahkki), Rosanna Coppo (Dahkki), Peter Boor (Dahkki)
• Materiálatiipa: Girji
• Almmustuhtton: Elsevier, 2022-01-01T00:00:00Z.
• Fáttát: article
• Liŋkkat: Connect to this object online.

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...