Real-time tumor tracking using fluoroscopic imaging with deep neural network analysis

2019 ◽  
Vol 59 ◽  
pp. 22-29 ◽  
Author(s):  
Ryusuke Hirai ◽  
Yukinobu Sakata ◽  
Akiyuki Tanizawa ◽  
Shinichiro Mori
Keyword(s):  
Neural Network ◽  
Network Analysis ◽  
Real Time ◽  
Deep Neural Network ◽  
Neural Network Analysis ◽  
Tumor Tracking ◽  
Fluoroscopic Imaging

scholarly journals Deep neural network analysis of nanoparticle ordering to identify defects in layered carbon materials

2021 ◽  
Author(s):  
Daniil A. Boiko ◽  
Evgeniy O. Pentsak ◽  
Vera A. Cherepanova ◽  
Evgeniy G. Gordeev ◽  
Valentine P. Ananikov
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Network Analysis ◽  
Carbon Material ◽  
Deep Neural Network ◽  
Carbon Materials ◽  
Material Surface ◽  
Neural Network Analysis ◽  
Pd Nanoparticle ◽  
Sem Imaging

Defectiveness of carbon material surface is a key issue for many applications. Pd-nanoparticle SEM imaging was used to highlight “hidden” defects and analyzed by neural networks to solve order/disorder classification and defect segmentation tasks.

Smoking causes early biological aging: a deep neural network analysis of common blood test results

2018 ◽  
Author(s):  
Neil Skjodt ◽  
Polina Mamoshina ◽  
Kirilli Kochetov ◽  
Franco Cortese ◽  
Anna Kovalchuk ◽  
...  
Keyword(s):  
Neural Network ◽  
Network Analysis ◽  
Blood Test ◽  
Deep Neural Network ◽  
Biological Aging ◽  
Test Results ◽  
Neural Network Analysis

Identification of smokingstatus from routine blood test results using deep neural network analysis.

2018 ◽  
Author(s):  
Neil Skjodt ◽  
Polina Mamoshina ◽  
Kirill Kochetov ◽  
Franco Cortese ◽  
Anna Kovalchuk ◽  
...  
Keyword(s):  
Neural Network ◽  
Network Analysis ◽  
Blood Test ◽  
Deep Neural Network ◽  
Test Results ◽  
Neural Network Analysis ◽  
Routine Blood ◽  
Routine Blood Test
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