Validating Dose Uncertainty Estimates Produced by AUTODIRECT: An Automated Program to Evaluate Deformable Image Registration Accuracy.

Kim, Hojin; Chen, Josephine; Phillips, Justin; Pukala, Jason; Yom, Sue S; Kirby, Neil

Kim, Hojin; Chen, Josephine; Phillips, Justin; Pukala, Jason; Yom, Sue S; Kirby, Neil.

Afiliación

Kim H; Department of Radiation Oncology, University of California, San Francisco, CA, USA.
Chen J; Department of Radiation Oncology, Asan Medical Center, University of Uslan College of Medicine, Seoul, Korea.
Phillips J; Department of Radiation Oncology, University of California, San Francisco, CA, USA.
Pukala J; Department of Radiation Oncology, University of California, San Francisco, CA, USA.
Yom SS; Department of Radiation Oncology, University of Florida Health Cancer Center at Orlando Health, Orlando, FL, USA.
Kirby N; Department of Radiation Oncology, University of California, San Francisco, CA, USA.

Technol Cancer Res Treat ; 16(6): 885-892, 2017 Dec.

Article en En | MEDLINE | ID: mdl-28490254

Palabras clave

AUTODIRECT; DIR uncertainty; Student t distribution; deformable image registration; dose mapping error

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Technol Cancer Res Treat Asunto de la revista: NEOPLASIAS / TERAPEUTICA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google