| 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 |
| Computer-aided diagnosis on lung cancer using enhanced machine learning |
Lu Yao |
School of Data and Computer Science, Sun Yat-sen University |
NLST |
Sep 21, 2017 |
NLST-351 |
| 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 |
| Investigation of Deep Learning based methods to Detection, Segmentation and Classification of Lung Nodules |
Saeed Seyyedi |
Independent |
NLST |
Sep 20, 2017 |
NLST-354 |
| NLP and Machine Vision for Development of Predictive Models to Determine Lung Cancer Risk on Basis of CT Images and Social History. |
Joey Bargo |
MedMyne |
NLST |
Sep 19, 2017 |
NLST-350 |
| Deep Machine Learning for Detection of Lung Cancer from NLST Images |
Eugene Demidenko |
Geisel School of Medicine at Dartmouth |
NLST |
Sep 18, 2017 |
NLST-347 |
| Computer assisted detection of abnormalities in chest CT scans |
Joel Pinto |
Nuance Communications |
NLST |
Sep 18, 2017 |
NLST-348 |
| Technology Development of Deep Learning based Lung CT and Chest X-Ray Reading |
Jing Xiao |
Ping An Technology(Shenzhen) Company Ltd. |
NLST |
Sep 18, 2017 |
NLST-345 |
| Improving accuracy in nodule detection and cancer prediction using data-driven deep learning approach |
Yuan Feng |
Shenzhen Vega Medical Technology Limited |
NLST |
Sep 18, 2017 |
NLST-342 |
| Chest X-Ray Analysis Using Deep Convolutional Network |
Ashraf Khalid |
Semion Inc. |
PLCO |
Sep 8, 2017 |
PLCO-302 |
| Studying neighborhood socioeconomic deprivation and colorectal cancer risk in PLCO |
Qian Xiao |
University of Iowa |
PLCO |
Sep 7, 2017 |
PLCO-303 |
| Selecting the risk cut off for the LLP model. |
Kevin ten Haaf |
Erasmus MC |
PLCO |
Sep 6, 2017 |
PLCO-301 |
| Detection and classification of abnormalities in Chest X-Rays |
Robert Rowley |
Flow Health, Inc. |
PLCO |
Sep 5, 2017 |
PLCO-296 |
| A systematic evaluation of the relationship between reproductive factors and gynecologic outcomes in women from the PLCO: endometriosis, uterine fibroids, and endometrial and ovarian cancer. |
Ayush Giri |
Vanderbilt University Medical Center |
PLCO |
Sep 5, 2017 |
PLCO-299 |
| Lifecourse body mass index trajectories and the development of endometrial and ovarian cancers |
Kara Michels |
Metabolic Epidemiology Branch |
PLCO |
Sep 5, 2017 |
PLCO-305 |
