scholarly journals Optimization of a chest computed tomography protocol for detecting pure ground glass opacity nodules: A feasibility study with a computer-assisted detection system and a lung cancer screening phantom

PLoS ONE ◽  
2020 ◽  
Vol 15 (5) ◽  
pp. e0232688
Author(s):  
Seongmin Kang ◽  
Tae Hoon Kim ◽  
Jae Min Shin ◽  
Kyunghwa Han ◽  
Ji Young Kim ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lung Cancer ◽  
Cancer Screening ◽  
Feasibility Study ◽  
Detection System ◽  
Lung Cancer Screening ◽  
Ground Glass Opacity ◽  
Computer Assisted ◽  
Chest Computed Tomography ◽  
Computer Assisted Detection

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

2019 ◽  
Vol 25 (6) ◽  
pp. 954-961 ◽  
Author(s):  
Diego Ardila ◽  
Atilla P. Kiraly ◽  
Sujeeth Bharadwaj ◽  
Bokyung Choi ◽  
Joshua J. Reicher ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lung Cancer ◽  
Deep Learning ◽  
Cancer Screening ◽  
Low Dose ◽  
Three Dimensional ◽  
Lung Cancer Screening ◽  
Chest Computed Tomography ◽  
End To End

Cystic Lesions on Lung Cancer Screening Chest Computed Tomography: When Should We Be Concerned?

2018 ◽  
Vol 15 (2) ◽  
pp. 263-265
Author(s):  
Ravi V. Gottumukkala ◽  
Florian J. Fintelmann ◽  
Florence K. Keane ◽  
Jo-Anne O. Shepard
Keyword(s):  
Computed Tomography ◽  
Lung Cancer ◽  
Cancer Screening ◽  
Lung Cancer Screening ◽  
Cystic Lesions ◽  
Chest Computed Tomography

scholarly journals Author Correction: End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

2019 ◽  
Vol 25 (8) ◽  
pp. 1319-1319 ◽  
Author(s):  
Diego Ardila ◽  
Atilla P. Kiraly ◽  
Sujeeth Bharadwaj ◽  
Bokyung Choi ◽  
Joshua J. Reicher ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lung Cancer ◽  
Deep Learning ◽  
Cancer Screening ◽  
Low Dose ◽  
Three Dimensional ◽  
Lung Cancer Screening ◽  
Chest Computed Tomography ◽  
End To End
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