| 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 |
| 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 |
| Identifying lethal lung cancers from non-lethal disease using CT and pathology image markers |
Peng Huang |
Johns Hopkins University |
PLCO |
Sep 20, 2017 |
2017-9001 |
| Use of head and neck cancer dataset |
Monika Khurana |
Independent |
PLCO |
Sep 20, 2017 |
PLCO-306 |
| LDCT Pulmonary Nodule Assessment Model Based on Multi-Omics Approach |
Rayjean Hung |
Lunenfeld-Tanenbaum Research Institute, Sinai Health System |
NLST |
Sep 20, 2017 |
NLST-349 |
