Prior guided deep difference meta-learner for fast adaptation to stylized segmentation
Radiotherapy treatment planning requires segmenting anatomical structures in various styles, influenced by guidelines, protocols, preferences, or dose planning needs. Deep learning-based auto-segmentation models, trained on anatomical definitions, may not match local clinicians’ styles at new instit...
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| Hauptverfasser: | , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
IOP Publishing
2025-01-01
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| Schriftenreihe: | Machine Learning: Science and Technology |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1088/2632-2153/adc970 |
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