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Deep learning based MLC aperture and monitor unit prediction as a warm start for breast VMAT optimisation.
Vandewinckele, L; Reynders, T; Weltens, C; Maes, F; Crijns, W.
Affiliation
  • Vandewinckele L; Department of Oncology, Laboratory of Experimental Radiotherapy, KU Leuven, Belgium.
  • Reynders T; Department of Radiation Oncology, UZ Leuven, Belgium.
  • Weltens C; Department of Radiation Oncology, UZ Leuven, Belgium.
  • Maes F; Department of Oncology, Laboratory of Experimental Radiotherapy, KU Leuven, Belgium.
  • Crijns W; Department of Radiation Oncology, UZ Leuven, Belgium.
Phys Med Biol ; 68(22)2023 Nov 16.
Article in En | MEDLINE | ID: mdl-37903442
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiotherapy, Intensity-Modulated / Deep Learning Limits: Humans Language: En Journal: Phys Med Biol Year: 2023 Document type: Article Affiliation country:
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiotherapy, Intensity-Modulated / Deep Learning Limits: Humans Language: En Journal: Phys Med Biol Year: 2023 Document type: Article Affiliation country: