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A Lightweight Deep-Learning Model for Automatic IMRT Planning Via Fluence Map Prediction with a 2.5D Implementation: A Study of Head-And-Neck IMRT Application

Publication ,  Conference
Wang, C; Li, X; Sheng, Y; Zhang, J; Lafata, K; Yin, F; Wu, Q; Ge, Y
Published in: MEDICAL PHYSICS
2020

Duke Scholars

Published In

MEDICAL PHYSICS

EISSN

2473-4209

ISSN

0094-2405

Publication Date

2020

Volume

47

Issue

6

Start / End Page

E330 / E330

Related Subject Headings

  • Nuclear Medicine & Medical Imaging
  • 5105 Medical and biological physics
  • 4003 Biomedical engineering
  • 1112 Oncology and Carcinogenesis
  • 0903 Biomedical Engineering
  • 0299 Other Physical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Wang, C., Li, X., Sheng, Y., Zhang, J., Lafata, K., Yin, F., … Ge, Y. (2020). A Lightweight Deep-Learning Model for Automatic IMRT Planning Via Fluence Map Prediction with a 2.5D Implementation: A Study of Head-And-Neck IMRT Application. In MEDICAL PHYSICS (Vol. 47, pp. E330–E330).
Wang, C., X. Li, Y. Sheng, J. Zhang, K. Lafata, F. Yin, Q. Wu, and Y. Ge. “A Lightweight Deep-Learning Model for Automatic IMRT Planning Via Fluence Map Prediction with a 2.5D Implementation: A Study of Head-And-Neck IMRT Application.” In MEDICAL PHYSICS, 47:E330–E330, 2020.

Published In

MEDICAL PHYSICS

EISSN

2473-4209

ISSN

0094-2405

Publication Date

2020

Volume

47

Issue

6

Start / End Page

E330 / E330

Related Subject Headings

  • Nuclear Medicine & Medical Imaging
  • 5105 Medical and biological physics
  • 4003 Biomedical engineering
  • 1112 Oncology and Carcinogenesis
  • 0903 Biomedical Engineering
  • 0299 Other Physical Sciences