Pixel level deep reinforcement learning for accurate and robust medical image segmentation
Existing deep learning methods have achieved significant success in medical image segmentation. However, this success largely relies on stacking advanced modules and architectures, which has created a path dependency. This path dependency is unsustainable, as it leads to increasingly larger model pa...
| Autores principales: | , , , , , , |
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| Formato: | Journal article |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2025
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