Benefits of deep learning for delineation of organs at risk in head and neck cancer

•Validation of automated delineation of organs at risk in head and neck cancer.•Automated delineation is more time efficient.•Automated delineation reduces interobserver variability. Precise delineation of organs at risk (OARs) in head and neck cancer (HNC) is necessary for accurate radiotherapy. Al...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Radiotherapy and oncology Ročník 138; s. 68 - 74
Hlavní autoři:	van der Veen, J., Willems, S., Deschuymer, S., Robben, D., Crijns, W., Maes, F., Nuyts, S.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Ireland Elsevier B.V 01.09.2019
Témata:	Aged Aged, 80 and over Deep Learning Delineation Female Head and neck neoplasms Head and Neck Neoplasms - radiotherapy Hematology, Oncology, and Palliative Medicine Humans Male Middle Aged Neural Networks, Computer Observer Variation Organs at Risk Radiotherapy mm Acc Delineation Radiotherapy Observer variation S SG U Head and neck neoplasms PG Neural networks (computer) Organs at risk PCM ASSD RO IOVm millimetres accuracy of network upper parotid gland pharyngeal constrictor muscles average symmetric surface distance supra manual interobserver variability radiation oncologist submandibular gland
ISSN:	0167-8140, 1879-0887, 1879-0887
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!