287 Requirements for the use of an atlas-based automatic segmentation for delineation of Organs at risk (OAR) in conformal radiotherapy (CRT): quality assurance (QA) and preliminary results for 22 adult patients with primary brain tumors

2005 ◽  
Vol 76 ◽  
pp. S133 ◽  
Author(s):  
A. Isambert ◽  
F. Dhermain ◽  
A. Beaudre ◽  
O. Commovick ◽  
J. Diaz ◽  
...  
Keyword(s):  
At Risk ◽  
Quality Assurance ◽  
Brain Tumors ◽  
Organs At Risk ◽  
Automatic Segmentation ◽  
Conformal Radiotherapy ◽  
Adult Patients ◽  
Preliminary Results ◽  
Primary Brain Tumors

scholarly journals Automatic segmentation of pelvic organs-at-risk using a fusion network model based on limited training samples

2020 ◽  
Vol 59 (8) ◽  
pp. 933-939
Author(s):  
Zhongjian Ju ◽  
Qingnan Wu ◽  
Wei Yang ◽  
Shanshan Gu ◽  
Wen Guo ◽  
...  
Keyword(s):  
At Risk ◽  
Network Model ◽  
Organs At Risk ◽  
Automatic Segmentation ◽  
Pelvic Organs ◽  
Model Based ◽  
Training Samples ◽  
Limited Training Samples

Evaluation of an atlas-based automatic segmentation software for the delineation of brain organs at risk in a radiation therapy clinical context

2008 ◽  
Vol 87 (1) ◽  
pp. 93-99 ◽  
Author(s):  
Aurélie Isambert ◽  
Frédéric Dhermain ◽  
François Bidault ◽  
Olivier Commowick ◽  
Pierre-Yves Bondiau ◽  
...  
Keyword(s):  
At Risk ◽  
Radiation Therapy ◽  
Organs At Risk ◽  
Automatic Segmentation ◽  
Clinical Context

876P Automatic segmentation of organs at risk in head and neck using 3D-UNets

2021 ◽  
Vol 32 ◽  
pp. S793
Author(s):  
S. Datta ◽  
A. Traverso ◽  
S. Mehrkanoon ◽  
A. Briassouli
Keyword(s):  
At Risk ◽  
Head And Neck ◽  
Organs At Risk ◽  
Automatic Segmentation
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