Segmentation of pelvic organs at risk using superpixels and graph diffusion in prostate radiotherapy

2015 ◽  
Author(s):  
Maxime Guinin ◽  
Su Ruan ◽  
Lamyaa Nkhali ◽  
Bernard Dubray ◽  
Laurent Massoptier ◽  
...  
Keyword(s):  
At Risk ◽  
Organs At Risk ◽  
Prostate Radiotherapy ◽  
Pelvic Organs

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

scholarly journals PO-0971: Segmentation of organs at risk using superpixels on MRI or CT images in prostate radiotherapy

2015 ◽  
Vol 115 ◽  
pp. S515
Author(s):  
M. Guinin ◽  
S. Ruan ◽  
L. Nkhali ◽  
B. Dubray ◽  
L. Massoptier ◽  
...  
Keyword(s):  
At Risk ◽  
Organs At Risk ◽  
Ct Images ◽  
Prostate Radiotherapy

Use of machine learning methods for prediction of acute toxicity in organs at risk following prostate radiotherapy

2011 ◽  
Vol 38 (6Part1) ◽  
pp. 2859-2867 ◽  
Author(s):  
Andrea Pella ◽  
Raffaella Cambria ◽  
Marco Riboldi ◽  
Barbara Alicja Jereczek-Fossa ◽  
Cristiana Fodor ◽  
...  
Keyword(s):  
Machine Learning ◽  
At Risk ◽  
Acute Toxicity ◽  
Organs At Risk ◽  
Learning Methods ◽  
Prostate Radiotherapy ◽  
Machine Learning Methods

scholarly journals Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Mark H. F. Savenije ◽  
Matteo Maspero ◽  
Gonda G. Sikkes ◽  
Jochem R. N. van der Voort van Zyp ◽  
Alexis N. T. J. Kotte ◽  
...  
Keyword(s):  
At Risk ◽  
Organs At Risk ◽  
Clinical Implementation ◽  
Prostate Radiotherapy ◽  
Convolutional Networks
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