Quality assurance for online adaptive radiotherapy: a secondary dose verification model with geometry-encoded U-Net
In online adaptive radiotherapy (ART), quick computation-based secondary dose verification is crucial for ensuring the quality of ART plans while the patient is positioned on the treatment couch. However, traditional dose verification algorithms are generally time-consuming, reducing the efficiency...
I tiakina i:
| Ngā kaituhi matua: | , , , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
IOP Publishing
2024-01-01
|
| Rangatū: | Machine Learning: Science and Technology |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1088/2632-2153/ad829e |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|