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...

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Detalles Bibliográficos
Autores principales: Bai, Xue, Zhang, Jie, Wang, Binbing, Wang, Shengye, Xiang, Yida, Hou, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
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

Internet

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

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