Tackling stain variability using CycleGAN-based stain augmentation

• Glavni autori: Nassim Bouteldja (Autor), David L. Hölscher (Autor), Roman D. Bülow (Autor), Ian S.D. Roberts (Autor), Rosanna Coppo (Autor), Peter Boor (Autor)
• Format: Knjiga
• Izdano: Elsevier, 2022-01-01T00:00:00Z.
• Teme: article
• Online pristup: 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...