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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| 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 |