A cascade transformer-based model for 3D dose distribution prediction in head and neck cancer radiotherapy

. Radiation therapy is one of the primary methods used to treat cancer in the clinic. Its goal is to deliver a precise dose to the planning target volume while protecting the surrounding organs at risk (OARs). However, the traditional workflow used by dosimetrists to plan the treatment is time-consu...

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Vydané v:	Physics in medicine & biology Ročník 69; číslo 4
Hlavní autori:	Gheshlaghi, Tara, Nabavi, Shahabedin, Shirzadikia, Samireh, Moghaddam, Mohsen Ebrahimi, Rostampour, Nima
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England 21.02.2024
Predmet:	Head and Neck Neoplasms - radiotherapy Humans Image Processing, Computer-Assisted - methods Organs at Risk deep learning multi-scale convolutional neural network transformer neural network head and neck cancer dose distribution prediction radiation therapy
ISSN:	1361-6560, 1361-6560
On-line prístup:	Zistit podrobnosti o prístupe
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