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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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Principais autores: Wei WANG, Shuxian CHEN, Mawei JIANG
Format: Artigo
Sprog:Chinês
Udgivet: Editorial Office of Chinese Journal of Medical Instrumentation 2026-01-01
Serier:Zhongguo yiliao qixie zazhi
Fag:
automated segmentation
multimodal convolutional neural network
pediatric radiotherapy
medulloblastoma
substructure
Online adgang:https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.250219
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