TrDosePred: A deep learning dose prediction algorithm based on transformers for head and neck cancer radiotherapy.

Journal: Journal of applied clinical medical physics

Published Date: Mar 3, 2023

Abstract

BACKGROUND: Intensity-Modulated Radiation Therapy (IMRT) has been the standard of care for many types of tumors. However, treatment planning for IMRT is a time-consuming and labor-intensive process.

Authors

Chenchen Hu

Institute of Radiation Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.
Haiyun Wang

Institute of Radiation Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.
Wenyi Zhang

Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing, China.
Yaoqin Xie

Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
Ling Jiao

Institute of Radiation Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.
Songye Cui

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.

Keywords

Algorithms Deep Learning Head and Neck Neoplasms Humans Organs at Risk Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated

External Resources

View on PubMed Access via DOI PubMed (36867441)

TrDosePred: A deep learning dose prediction algorithm based on transformers for head and neck cancer radiotherapy.

Abstract

Authors

Keywords

External Resources

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