Hierarchical Cross-Consistency Network Based Unsupervised Domain Adaptation for Pathology Whole Slide Image Segmentation
<italic>Goal:</italic> Pathology images collected from different hospitals often have large appearance variability causedby different scanners, patients, or hospital protocols. Deep learning-based pathology segmentation models are highly dependent on the distribution of training data. Therefore, the...
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| Автори: | , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2025-01-01
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| Серія: | IEEE Open Journal of Engineering in Medicine and Biology |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/11215652/ |
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