scholarly journals SISC: End-to-End Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 145444-145454 ◽  
Author(s):  
Devinder Kumar ◽  
Vignesh Sankar ◽  
David Clausi ◽  
Graham W. Taylor ◽  
Alexander Wong
Keyword(s):  
Lung Cancer ◽  
Cancer Prediction ◽  
End To End

Deep Learning for Lung Cancer Prediction using NSCLS patients CT Information

2021 ◽  
Author(s):  
Naresh Cherukuri ◽  
Naga Raju Bethapudi ◽  
Venkata Sai Krishna Thotakura ◽  
Prasad Chitturi ◽  
CMAK Zeelan Basha ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Deep Learning ◽  
Cancer Prediction

Lung Cancer Prediction Using Curriculum Learning Based Deep Neural Networks

2021 ◽  
Author(s):  
Jackson Zhou ◽  
Matloob Khushi ◽  
Mohammad Ali Moni ◽  
Shahadat Uddin ◽  
Simon K. Poon
Keyword(s):  
Lung Cancer ◽  
Neural Networks ◽  
Deep Neural Networks ◽  
Cancer Prediction

CA-Net: Leveraging Contextual Features for Lung Cancer Prediction

2021 ◽  
pp. 23-32
Author(s):  
Mingzhou Liu ◽  
Fandong Zhang ◽  
Xinwei Sun ◽  
Yizhou Yu ◽  
Yizhou Wang
Keyword(s):  
Lung Cancer ◽  
Cancer Prediction ◽  
Contextual Features

scholarly journals P2.01-99 Can NGS NSCLC Testing Be Implemented Without in House Expertise? Clinical Utility of the First FDA-Approved Lung Cancer NGS End-To-End Solution

2018 ◽  
Vol 13 (10) ◽  
pp. S703
Author(s):  
S. Mcdonough ◽  
A. Aiyer ◽  
A.M. Velasco Roth ◽  
J. Menezes ◽  
A. Vora ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Clinical Utility ◽  
End To End
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