A generative adversarial network to Reinhard stain normalization for histopathology image analysis
Histopathology image analysis is paramount importance for accurate diagnosing diseases and gaining insight into tissue properties. The significant challenge of staining variability continues. This research work presents a new method that merges deep learning with Reinhardstain normalization, aiming...
Furkejuvvon:
| Váldodahkki: | |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
Elsevier
2024-10-01
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| Ráidu: | Ain Shams Engineering Journal |
| Fáttát: | |
| Liŋkkat: | http://www.sciencedirect.com/science/article/pii/S2090447924003307 |
| Fáddágilkorat: |
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