| Application of machining learning in lung cancer prediction with the NLST and PLCO data |
Liang Ge |
Diannai (Shanghai) Biotech Co., Ltd. |
PLCO |
Dec 27, 2016 |
PLCO-250 |
| Application of machining learning in lung cancer prediction with the NLST and PLCO data |
Liang Ge |
Diannai (Shanghai) Biotech Co., Ltd. |
NLST |
Dec 27, 2016 |
NLST-269 |
| Risk modelling of time to lung cancer diagnosis |
Anton Schreuder |
Radboudumc |
NLST |
Dec 27, 2016 |
NLST-267 |
| Medical data mining on small datasets |
Ron Wolfslast |
University Hamburg |
NLST |
Dec 16, 2016 |
NLST-266 |
| Lifestyle changes after a cancer diagnosis in relation to all-cause and cancer-specific mortality |
Hannah Brooke |
Karolinska Institutet |
PLCO |
Dec 16, 2016 |
PLCO-245 |
| MRI screening for lung cancer: Markov modeling using the NLST CT outcomes data |
Mark Schiebler |
UW-Madison School of Medicine and Public Health |
NLST |
Dec 15, 2016 |
NLST-265 |
| Early detection of lung cancer with deep neural nets |
weiyi xie |
JianPei technology, Ltd |
NLST |
Dec 13, 2016 |
NLST-260 |
| Diabetes, PSA levels and prostate cancer screening outcomes |
Eric Miller |
NCI |
PLCO |
Dec 12, 2016 |
PLCO-246 |
| Instance-driven semantic segmentation and clinical information assessment of temporal changes for lung nodules |
Kang Li |
Department of Industrial and Systems Engineering |
NLST |
Dec 5, 2016 |
NLST-261 |
| Data mining based decision support system using data warehouse. |
Canan Eren ATAY |
Dokuz Eylül University |
PLCO |
Dec 5, 2016 |
PLCO-241 |
| RETROSPECTIVE ANALYSIS OF PULMONARY NODULES USING A NEW ALGORITHM FOR DETERMINING INTERVAL GROWTH, WITH SUBSEQUENT PROSPECTIVE ANALYSIS FOR BLINDED VALIDATION |
John Billings |
Independent Researcher |
NLST |
Dec 5, 2016 |
NLST-263 |
| Automatic lung nodule detection by CNN |
Shuang Wu |
Yitu USA |
NLST |
Dec 2, 2016 |
NLST-258 |
| Early Detection and Prognosis of Lung Cancer |
Yun Li |
UNC Chapel Hill |
NLST |
Dec 2, 2016 |
NLST-262 |
| Intelligent System based on Artificial Neural Networks to prostate cancer diagnosis |
Carlos Eduardo Ocrospoma Sarasi |
UNMSM |
PLCO |
Dec 2, 2016 |
PLCO-242 |
| Assessment of Recurrent status, Tissue and DNA Core availability and Prostate pathology section status among men in the PLCO |
Scott Kelly |
National Cancer Institute, NIH |
PLCO |
Dec 1, 2016 |
PLCO-243 |
| One carbon metabolism and endometrial cancer risk |
Britton Trabert |
NIH |
PLCO |
Nov 22, 2016 |
2016-0049 |
| Statistical models to predict future subject’s lung cancer risk: application to NLST and PLCO data |
Ping Hu |
NCI |
NLST |
Nov 21, 2016 |
NLST-259 |
| Clinical Decision Support System (CDSS) and self-learning tool for radiologists for Lung CT using Content Based Image Retrieval (CBIR). |
Sudipta Mukhopadhyay |
Indian Institute of Technology Kharagpur, India |
NLST |
Nov 10, 2016 |
NLST-255 |
| Longitudinal Deep Radiomic Signatures for Lung Cancer Prognosis and Treatment Response Prediction |
Nicolas Chapados |
Imagia Inc. |
NLST |
Nov 10, 2016 |
NLST-256 |
| Incorporating Biomarkers to Improve Lung Cancer Risk Prediction |
Ziding Feng |
UT MD Anderson Cancer Center |
PLCO |
Nov 9, 2016 |
PLCO-239 |
