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 |
Testing for association between month of birth and circulating levels of vitamin D among participants in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial |
Lahiru Handunnetthi |
University of Oxford |
PLCO |
Oct 23, 2017 |
PLCO-318 |
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 |
Biopsy Recommendation in Prostate Cancer Using Machine Learning Techniques |
TAHA KHAN |
FAST-NUCES Karachi |
PLCO |
Oct 16, 2017 |
PLCO-314 |
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 |
Prediction of a cancer in R language |
Lucia Plichtova |
University of Zilina - Slovakia |
PLCO |
Oct 12, 2017 |
PLCO-313 |
Disparity in time to treatment of cancer from after diagnosis between African American and White population and mortality outcomes |
Gurudatta Naik |
University of Alabama at Birmingham |
PLCO |
Oct 12, 2017 |
PLCO-312 |
Functional Genomics to Inform Gene Environment Interactions |
Ulrike Peters |
Fred Hutchinson Cancer Center |
PLCO |
Oct 12, 2017 |
PLCO-310 |
The association of garlic intake on total cancer incidence and mortality |
Lina Mu |
University at Buffalo |
PLCO |
Oct 10, 2017 |
PLCO-315 |
Prediction of abnormalities in Chest X-Rays with Machine learning techniques |
Sasa Grbic |
Siemens Medical Solutions |
PLCO |
Oct 10, 2017 |
PLCO-311 |
Prostate dataset evaluation |
Timothy Wong |
Independent |
PLCO |
Oct 5, 2017 |
PLCO-316 |
A nested case-control study of serum levels of polyfluoroalkyl chemicals (PFCs) and renal cell carcinoma among participants in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial |
Jonathan Hofmann |
National Cancer Institute |
PLCO |
Sep 28, 2017 |
2017-0027 |
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 |
Publicly available prostate cancer datasets |
Tim Hulsen |
Philips Research |
PLCO |
Sep 27, 2017 |
PLCO-309 |
Methodologic research for stochastic models of colorectal cancer in natural history and under screening |
Hormuzd Katki |
NCI |
PLCO |
Sep 27, 2017 |
PLCO-308 |
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 |