A joint Multi-decoder Dual-attention U-Net framework for tumor segmentation in Whole Slide Images
Despite the recent increasing interest in digital pathology, efficient analysis of Whole Slide Images (WSIs) faces many challenges that hinder performance, such as their massive size, high heterogeneity, and imbalance distribution. This paper proposes a Joint Multi-decoder Dual-attention U-Net (JMDU...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer
2023-12-01
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| Серии: | Journal of King Saud University: Computer and Information Sciences |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S1319157823003890 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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