| Hormonal factors and risk of lung cancer: Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial and a meta-analysis of 10 cohort studies |
Zuo-Feng Zhang |
Fielding School of Public Health, University of California, Los Angeles, CA, USA |
PLCO |
Oct 11, 2018 |
PLCO-406 |
| Modification of the Associations Between Aspirin Use and Colorectal, Ovarian, Endometrial, Breast, and Prostate Cancer Risk |
Lauren Hurwitz |
National Cancer Institute |
PLCO |
Oct 4, 2018 |
PLCO-403 |
| Interaction of Calcium Intake and Obesity on Pancreatic Cancer in the PLCO Trial |
Margaret Hoyt |
Indiana University |
PLCO |
Oct 4, 2018 |
PLCO-404 |
| Whole chest segmentation: automatic labeling of anatomical and pathological regions in a chest CT scan |
Mirza Faisal Beg |
Simon Fraser University |
NLST |
Sep 28, 2018 |
NLST-444 |
| Design and validation of an oral cancer risk prediction model |
Anil Chaturvedi |
National Cancer Institute |
PLCO |
Sep 28, 2018 |
PLCO-402 |
| Performance Evaluation of Colorectal Cancer Diagnosis Classification using Machine Learning Algorithms. |
HYUNJIN KWON |
Open Convergence Lab |
PLCO |
Sep 28, 2018 |
PLCO-399 |
| Lung PROSPR Research Center NLST Project |
Debra Ritzwoller |
Kaiser Permanente Institute for Health Research |
NLST |
Sep 25, 2018 |
NLST-443 |
| Interaction of family history, physical activity and environmental factors in the risk for the development of prostate cancer |
Omar Abdel-Rahman |
Avicenna Oncology Center |
PLCO |
Sep 25, 2018 |
PLCO-398 |
| Baseline PSA and Risk of Prostate Cancer Diagnosis |
Amanda Black |
NCI |
PLCO |
Sep 12, 2018 |
PLCO-400 |
| Experimentally Testing the Efficacy of Convolutional Neural Networks and Other Machine Learning Techniques on Staging of Lung Cancer CTs |
Srinath Somasundaram |
The Schmahl Science Workshops |
NLST |
Sep 10, 2018 |
NLST-442 |
| Comparative analysis of scoring methods for the Healthy Eating Index-2015 across three dietary assessment instruments in IDATA |
Edwina Wambogo |
National Institutes of Health |
IDATA |
Sep 10, 2018 |
IDATA-26 |
| Mortality prediction using a combination of quantitive CT image measures |
Anton Schreuder |
Radboudumc |
NLST |
Sep 5, 2018 |
NLST-437 |
| Lung nodule detection algorithms on CT low dose scans. |
Jean Jeudy |
University of Maryland School of Medicine |
NLST |
Sep 4, 2018 |
NLST-440 |
| Using deep learning approach to identify lung cancer and pulmonary tuberculosis |
Yuan Wang |
Washington State University |
NLST |
Sep 4, 2018 |
NLST-439 |
| Artificial Intelligence Based Detection and Radiomics Analysis of Lung Nodules from Lung Screening CT |
Yin-Hung Lin |
Taiwan AI Labs |
NLST |
Sep 4, 2018 |
NLST-441 |
| Time to Event Prediction Based on Risk Calculation from Biomarkers |
Anna Lokshin |
University of Pittsburgh |
PLCO |
Sep 4, 2018 |
PLCO-395 |
| Chest-Xray Image Analysis |
Hayit Greenspan |
RadLogics |
PLCO |
Sep 4, 2018 |
PLCO-396 |
| Personalized Dynamic Risk-based Lung Cancer Screening |
Sylvia Plevritis |
Stanford University |
NLST |
Aug 30, 2018 |
NLST-438 |
| Chest CT Image Analysis |
Hayit Greenspan |
RadLogics |
NLST |
Aug 28, 2018 |
NLST-436 |
| PSA and CA125 in relation to epidemiologic, serologic, and genetic data and cancer risk in PLCO |
Michael Cook |
NCI |
PLCO |
Aug 23, 2018 |
PLCO-394 |
