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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Detalles Bibliográficos
Autores principales: Bouteldja, Nassim, Hölscher, David L., Bülow, Roman D., Roberts, Ian S.D., Coppo, Rosanna, Boor, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577138/
https://www.ncbi.nlm.nih.gov/pubmed/36268102
http://dx.doi.org/10.1016/j.jpi.2022.100140

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577138/
https://www.ncbi.nlm.nih.gov/pubmed/36268102
http://dx.doi.org/10.1016/j.jpi.2022.100140

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