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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Materiálatiipa: | Girji |
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Elsevier,
2022-01-01T00:00:00Z.
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