Auto-Segmentation via deep-learning approaches for the assessment of flap volume after reconstructive surgery or radiotherapy in head and neck cancer
Abstract Reconstructive flap surgery aims to restore the substance and function losses associated with tumor resection. Automatic flap segmentation could allow quantification of flap volume and correlations with functional outcomes after surgery or post-operative RT (poRT). Flaps being ectopic tissu...
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| Główni autorzy: | , , , , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Portfolio
2025-07-01
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| Seria: | Scientific Reports |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1038/s41598-025-08073-4 |
| Etykiety: |
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