Deep Learning-Based Automated Segmentation Algorithms of Brain and Vertebral Substructures for Radiotherapy in Pediatric Medulloblastoma
To evaluate the application feasibility of nnU-Net and FuseNet for automatic segmentation of pediatric medulloblastoma substructures, 60 pediatric patients who received radiotherapy and grouped by 5-year age (≤5 and >5 years) were retrospectively analyzed. Brain substructures were delineated on CT-M...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Chinês |
| Publicat: |
Editorial Office of Chinese Journal of Medical Instrumentation
2026-01-01
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| Col·lecció: | Zhongguo yiliao qixie zazhi |
| Matèries: | |
| Accés en línia: | https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.250219 |
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