Learning‐based CBCT correction using alternating random forest based on auto‐context model

PURPOSE: Quantitative Cone Beam CT (CBCT) imaging is increasing in demand for precise image‐guided radiotherapy because it provides a foundation for advanced image‐guided techniques, including accurate treatment setup, online tumor delineation, and patient dose calculation. However, CBCT is currentl...

Fuld beskrivelse

Na minha lista:
Bibliografiske detaljer
Udgivet i:Med Phys
Main Authors: Lei, Yang, Tang, Xiangyang, Higgins, Kristin, Lin, Jolinta, Jeong, Jiwoong, Liu, Tian, Dhabaan, Anees, Wang, Tonghe, Dong, Xue, Press, Robert, Curran, Walter J., Yang, Xiaofeng
Format: Artigo
Sprog:Inglês
Udgivet: John Wiley and Sons Inc. 2018
Fag:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7792987/
https://ncbi.nlm.nih.gov/pubmed/30471129
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13295
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker