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Sharp loss: a new loss function for radiotherapy dose prediction based on fully convolutional networks
BACKGROUND: Neural-network methods have been widely used for the prediction of dose distributions in radiotherapy. However, the prediction accuracy of existing methods may be degraded by the problem of dose imbalance. In this work, a new loss function is proposed to alleviate the dose imbalance and...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501531/ https://www.ncbi.nlm.nih.gov/pubmed/34627279 http://dx.doi.org/10.1186/s12938-021-00937-w |