Načítá se...

Automated Quality Assurance of OAR Contouring for Lung Cancer Based on Segmentation With Deep Active Learning

Purpose: Ensuring high-quality data for clinical trials in radiotherapy requires the generation of contours that comply with protocol definitions. The current workflow includes a manual review of the submitted contours, which is time-consuming and subjective. In this study, we developed an automated...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Front Oncol
Hlavní autoři: Men, Kuo, Geng, Huaizhi, Biswas, Tithi, Liao, Zhongxing, Xiao, Ying
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Media S.A. 2020
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7350536/
https://ncbi.nlm.nih.gov/pubmed/32719742
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2020.00986
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!