SU-E-T-587: Evaluation of Dosimetric Effect in Vaginal Cylindrical Application Using HDR Brachy Therapy

2013 ◽  
Vol 40 (6Part20) ◽  
pp. 340-340
Author(s):  
D Palani ◽  
B Arun ◽  
S Prasath ◽  
T Selvan ◽  
D Gowardan ◽  
...  
Keyword(s):  
2012 ◽  
Vol 103 ◽  
pp. S46 ◽  
Author(s):  
D. Scanderbeg ◽  
S. Richardson ◽  
T. Pawlicki

2012 ◽  
Vol 103 ◽  
pp. S7-S8
Author(s):  
T. Sander ◽  
M.P. Toni ◽  
I. Aubineau-Lanièce ◽  
J. de Pooter ◽  
A.S. Guerra ◽  
...  

1998 ◽  
Vol 47 ◽  
pp. S4
Author(s):  
G. Kovács ◽  
R. Galalae ◽  
R. Rochels ◽  
H.M. Mehdom ◽  
J. Wemer ◽  
...  

2012 ◽  
Vol 103 ◽  
pp. S142-S143
Author(s):  
F. Lacroix ◽  
J. Morrier ◽  
M.C. Lavallée ◽  
S. Aubin ◽  
W. Foster ◽  
...  

2013 ◽  
Vol 872 ◽  
pp. 231-236
Author(s):  
Lothar A. Heinrich ◽  
Betina Pajaziti ◽  
Rakhimdzhan Roziev

The novel radio-protective drug 9-phenyl symm octahydro selenoxanthene is insoluble in water. The complexation with hydroxypropyl beta-cyclodextrin increases the water solubility improving the bioavailability. The stoichiometry of the supramolecular host-guest complex was studied by displacement experiments using fluorescence spectroscopy. With respect to the application in the radiologic brachy therapy the inclusion complex was encapsulated by spray drying with both, poly D,L-lactic-co-glycolic acid and gelatin. The in-vitro irradiation tests of the final ointment formulation show the inhibition of neoplasm development, and an efficient protection effect against radiation.


2020 ◽  
Vol 224 ◽  
pp. 01020
Author(s):  
M Privalov ◽  
M Stupina

This study is conducted to determine effectiveness and perspectives of application of the transfer learning approach to the medical images classification task. There are a lot of medical studies that involve image acquisition, such as XRay radiography, ultrasonic scanning, computer tomography (CT), magnetic resonance imaging (MRI) etc. Besides those medical procedures there are different operations that use medical images processing including but not limited to digital radiograph reconstruction (DRR), radiotherapy planning, brachy therapy planning. All those tasks could be effectively performed with help of software capable to perform segmentation, classification and object recognition. Those capabilities are naturally depend on neural classifiers. Presented work investigates different approaches to solving image classification task with neural networks, specifically, using pre-processing for feature extraction and end-to-end application of convolutional neural networks (CNN). Due to requirement of significantly big datasets and large computing power CNNs sometimes may appear difficult to train, so our results pay attention to application of transfer learning technique that can potentially relax requirements to classifier training. The conclusions of this study state that transfer learning can be effectively used for classification tasks, especially texture classification.


2005 ◽  
Vol 8 (1) ◽  
pp. 83
Author(s):  
Keumhee Kwak ◽  
Juree Kim ◽  
Seungchang Sohn ◽  
Keunseob Lee ◽  
Jiyoung Kim ◽  
...  

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