Nuclei Instance Segmentation Based on Generative Data Augmentation by an Improved CycleGAN
Nuclei segmentation in pathological images is a critical yet highly challenging task. Accurate nuclear segmentation enables the extraction of key nuclear features, which are essential for cancer diagnosis. Although fully supervised nuclei segmentation methods have achieved impressive results, the re...
Furkejuvvon:
| Váldodahkkit: | , , , , , |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
IEEE
2026-01-01
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| Ráidu: | IEEE Access |
| Fáttát: | |
| Liŋkkat: | https://ieeexplore.ieee.org/document/11525398/ |
| Fáddágilkorat: |
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