| Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images |
Mohammad Soltanieh-ha |
Boston University |
NLST |
Jul 13, 2020 |
NLST-692 |
| Deep learning model using multi-modal data for lung cancer survival prediction |
yingying zhu |
University of Texas, Arlington |
NLST |
Jul 7, 2020 |
NLST-684 |
| Actionable Intelligence Research for Early Lung Cancer Detection |
Jia Wu |
MD Anderson Cancer Center |
NLST |
Jul 7, 2020 |
NLST-690 |
| Lung Cancer Nodule Detection Using Algorithm. |
MUHAMMAD UMAIR |
NED UNIVERSITY |
NLST |
Jul 7, 2020 |
NLST-688 |
| Adherence to the 2018 World Cancer Research Fund/American Institute for Cancer Research cancer prevention recommendations and pancreatic cancer incidence and mortality in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial |
Guo-Chao Zhong |
The Second Affiliated Hospital of Chongqing Medical University |
PLCO |
Jun 30, 2020 |
PLCO-642 |
| Development of CNN-based model in predicting patients outcomes |
Shaunagh McDermott |
Massachusetts General Hospital |
NLST |
Jun 30, 2020 |
NLST-686 |
| Smart Radiology: an algorithm to predict the risk index of lung nodules in LDCT. |
Marcelo Oliveira |
Universidade Federal de Alagoas (UFAL) |
NLST |
Jun 29, 2020 |
NLST-685 |
| Genderd differences in stage and radiotherapy |
Cristina Sarasqueta |
Instituto Biodonostia |
PLCO |
Jun 26, 2020 |
PLCO-640 |
| Varying preferences for predictive information among patients at risk for lung cancer |
Gary Weissman |
University of Pennsylvania Perelman School of Medicine |
NLST |
Jun 26, 2020 |
NLST-682 |
| Development and evaluation of deep-learning algorithm for the classification of lung nodules detected on CT-Scan |
Cecile Dupont |
MD Start |
NLST |
Jun 26, 2020 |
NLST-683 |
| Deep learning mortality prediction in NLST data |
Joseph Jacob |
University College London |
NLST |
Jun 26, 2020 |
NLST-681 |
| Applications of Deep Learning for the Automatic or Semi-automatic Detection of Lung Abnormalities |
Suryadipto Sarkar |
Arizona State University |
NLST |
Jun 22, 2020 |
NLST-679 |
| Comparison of radiologist recommended follow-up with procedures received by study participants following screening with LDCT |
Nana Boame |
Brown University |
NLST |
Jun 22, 2020 |
NLST-680 |
| Evaluating six-step parsimonious quadratic logistic regression for risk prediction |
Stuart Baker |
National Cancer Institute |
PLCO |
Jun 18, 2020 |
PLCO-637 |
| Verifying Explanatory Methods |
Thomas Lukasiewicz |
University of Oxford |
PLCO |
Jun 18, 2020 |
PLCO-638 |
| Deep learning-based prediction of colorectal tumor features and clinical characteristics based on histology images |
Ulrike Peters |
Fred Hutchinson Cancer Center |
PLCO |
Jun 18, 2020 |
PLCOI-634 |
| AI algorithms for Chest Xray screening |
Renga Bashyam |
Biocliq Technologies |
PLCO |
Jun 18, 2020 |
PLCOI-639 |
| AI-based scoring system for prostate cancer |
Okyaz Eminaga |
Stanford University School of Medicine |
PLCO |
Jun 18, 2020 |
PLCOI-635 |
| Deep Learning to detect Chronic Obstructive Pulmonary Disease |
Surya Bhatt |
University of Alabama at Birmingham |
NLST |
Jun 18, 2020 |
NLST-678 |
| Treatment selection and outcome of CT-screened early-stage non-small cell lung cancer |
Alexander Chi |
Jiangsu Provincial Cancer Hospital |
NLST |
Jun 18, 2020 |
NLST-677 |
