scholarly journals Synthetic Enhancement of Cone Beam Computed Tomography (CBCT) for Adaptive Radiotherapy Using Deep Learning Algorithms

2020 ◽  
Vol 108 (3) ◽  
pp. S42
Author(s):  
O.M.D. Lemus ◽  
Y.F. Wang ◽  
D.P. Horowitz ◽  
Y. Xu ◽  
C.S. Wuu
Keyword(s):  
Computed Tomography ◽  
Deep Learning ◽  
Cone Beam Computed Tomography ◽  
Learning Algorithms ◽  
Adaptive Radiotherapy ◽  
Cone Beam

Layered Deep Learning for automatic mandibular segmentation in cone-beam computed tomography.

2021 ◽  
pp. 103786
Author(s):  
Pieter-Jan Verhelst ◽  
Andreas Smolders ◽  
Thomas Beznik ◽  
Jeroen Meewis ◽  
Arne Vandemeulebroucke ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Deep Learning ◽  
Cone Beam Computed Tomography ◽  
Cone Beam

A novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study

2021 ◽  
pp. 103865
Author(s):  
Eman Shaheen ◽  
André Leite ◽  
Khalid Ayidh Alqahtani ◽  
Andreas Smolders ◽  
Adriaan Van Gerven ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Deep Learning ◽  
Cone Beam Computed Tomography ◽  
Validation Study ◽  
Learning System ◽  
Cone Beam ◽  
Tooth Segmentation

113 Cone beam computed tomography (CBCT) based adaptive radiotherapy for lung cancer? The Christie experience

Lung Cancer ◽  
2011 ◽  
Vol 71 ◽  
pp. S39
Author(s):  
R.K. Shrimali ◽  
G.J. Webster ◽  
L.W. Lee ◽  
N. Bayman ◽  
H.Y. Sheikh ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lung Cancer ◽  
Cone Beam Computed Tomography ◽  
Adaptive Radiotherapy ◽  
Cone Beam
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