Attention-aware 3D U-Net convolutional neural network for knowledge-based planning 3D dose distribution prediction of head-and-neck cancer.

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作者： Alexander F I,Osman ^[1] ; Nissren M,Tamam ^[2]

作者单位： Department of Medical Physics, Al-Neelain University, Khartoum, Sudan. ^[1] Department of Physics, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. ^[2]

关键词 3D dose prediction attention-gated U-Net convolutional neural networks deep learning head-and-neck cancer intensity-modulated radiation therapy knowledge-based planning radiation therapy radiotherapy treatment planning

主题词注意力(Attention);头颈部肿瘤(Head and Neck Neoplasms);人类(Humans);危及器官(Organs at Risk);放射治疗剂量(Radiotherapy Dosage);放射治疗计划, 计算机辅助(Radiotherapy Planning, Computer-Assisted);放射疗法, 调强适形(Radiotherapy, Intensity-Modulated)

DOI 10.1002/acm2.13630

PMID 35533234

发布时间 2022-07-16

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Journal of applied clinical medical physics

2022年23卷7期

e13630页

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Attention-aware 3D U-Net convolutional neural network for knowledge-based planning 3D dose distribution prediction of head-and-neck cancer.

Journal of applied clinical medical physics

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Journal of applied clinical medical physics

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Attention-aware 3D U-Net convolutional neural network for knowledge-based planning 3D dose distribution prediction of head-and-neck cancer.

Journal of applied clinical medical physics

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Journal of applied clinical medical physics

相关期刊

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