Lung cancer investigation based on deep learning; detection, diagnosis and prognosis prediction |
Chin A Yi |
Sungkyunkwan University School of Medicine |
NLST |
Nov 14, 2017 |
NLST-366 |
Using Artificial Intelligence for the automatic interpretation of chest CT images |
Hugo Aerts |
Dana-Farber Cancer Institute, Inc. |
NLST |
Nov 14, 2017 |
NLST-374 |
New image features for automatically discrimination of patients with/without lung cancer |
Consuelo Gonzalo Martin |
UNIVERSIDAD POLITECNICA DE MADRID |
NLST |
Nov 14, 2017 |
NLST-373 |
Computer Tomography (CT) Scan image classification using Artificial Intelligence |
Manish Chaturvedi |
Pandit Deendayal Petroleum University |
NLST |
Nov 9, 2017 |
NLST-372 |
Unsupervised Deep Learning Approach to Characterize the Normal-Appearing Tissue in Lung CT images |
Kayhan Batmanghelich |
University of Pittsburgh |
NLST |
Nov 7, 2017 |
NLST-363 |
Early detection of lung cancer with deep learning and graph databases |
Rafael Berlanga |
Universitat Jaume I |
NLST |
Nov 6, 2017 |
NLST-370 |
Deep Learning on Lung CT |
Elliot Smith |
Maxwell MRI |
NLST |
Oct 27, 2017 |
NLST-365 |
Association between race and follow-up diagnostic care after a positive lung cancer screening test in the National Lung Cancer Screening Trial |
Joanna Sesti |
Robert Wood Johnson Barnabas Health |
NLST |
Oct 26, 2017 |
NLST-369 |
Early diagnosis of lung cancer applying deep neural networks using computerized tomography images |
Jonathan DomÃnguez |
CIDESI |
NLST |
Oct 25, 2017 |
NLST-368 |
Deep learning and other automated techniques for predicting incident cardiovascular death and cancer from lung cancer screening CT |
Michael Lu |
The General Hospital Corporation d/b/a Massachusetts General Hospital |
NLST |
Oct 25, 2017 |
NLST-367 |
Life years gained by screening in the NLST |
Hormuzd Katki |
National Cancer Institute |
NLST |
Oct 23, 2017 |
NLST-364 |
Nodule identification and classification in Lung screening |
Estanislao OUBEL |
Median Technologies |
NLST |
Oct 18, 2017 |
NLST-362 |
Assessing Racial Disparities of Lung Cancer Risk Prediction Model |
Hee-Soon Juon |
Thomas Jefferson University |
NLST |
Oct 16, 2017 |
NLST-361 |
Racial disparities in outcomes in patients undergoing screening and treatment for Lung Cancer |
Gurudatta Naik |
University of Alabama at Birmingham |
NLST |
Oct 13, 2017 |
NLST-360 |
A simulation modeling study examining the downstream effects of follow-up schedules for screen-detected nodules |
Chung Yin (Joey) Kong |
Massachusetts General Hospital / Harvard Medical School |
NLST |
Sep 28, 2017 |
NLST-357 |
Deep Learning for Lung Cancer Detection |
Ryan Sherman |
Deep Analytics |
NLST |
Sep 27, 2017 |
NLST-341 |
Detection and prediction analysis of lung cancer based on deep learning with low-dose CT |
Seyoun Park |
Johns Hopkins University |
NLST |
Sep 26, 2017 |
NLST-356 |
Computer-Aided Treatment Effectiveness Assessment Based on Lung Cancer CT Screening |
Hsiao-Dong Chiang |
Cornell University |
NLST |
Sep 26, 2017 |
NLST-346 |
Automatic Detection of Cancerous Lung Tissue |
Maribeth Cogan |
The University of Texas at Dallas |
NLST |
Sep 22, 2017 |
NLST-355 |
Nodule Identification for Lung Screening |
Osama Masoud |
Vital Images |
NLST |
Sep 22, 2017 |
NLST-353 |