| 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 |
| 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 |
| Selecting the risk cut off for the LLP model. |
Kevin ten Haaf |
Erasmus MC |
NLST |
Aug 27, 2017 |
NLST-343 |
| Machine learning to identify, track, and monitor disease |
John MacLean |
doclink.io |
NLST |
Aug 16, 2017 |
NLST-338 |
| Predict histological grade by CT image auto-reviewing |
Edwin Wang |
University of Calgary |
NLST |
Aug 16, 2017 |
NLST-340 |
| Predicting lung cancer from chest radiography features |
Ashwini Suriyaprakash |
Independent |
NLST |
Aug 7, 2017 |
NLST-334 |
| Ultra-Low-Dose Lung Nodule CT Surveillance Using Prior-Image-Based Reconstruction |
Hao Zhang |
Johns Hopkins University |
NLST |
Aug 3, 2017 |
NLST-329 |
| Interpretable machine learning models for lung cancer screening |
Cynthia Rudin |
Duke |
NLST |
Aug 2, 2017 |
NLST-332 |
| image deep learning of lung cancer cell |
Tang Wei |
Chongqing University |
NLST |
Aug 1, 2017 |
NLST-331 |
| Gist response |
Patrick Brennan |
University of Sydney |
NLST |
Jul 31, 2017 |
NLST-333 |
| Role of Image Segmentation Methods in Increasing the Efficiency and Accuracy of Neural Networks in Cancer Detection |
Zong Zhang |
N/A |
NLST |
Jul 28, 2017 |
NLST-335 |
| image reconstruction |
YUNXI JIANG |
SUN YAT-SEN UNIVERSITY |
NLST |
Jul 18, 2017 |
NLST-327 |
| Enhancement of pulmonary nodule detection algorithm using large scale LDCT data |
Seungho Lee |
Vuno |
NLST |
Jul 10, 2017 |
NLST-322 |
| Precision medicine via survival analysis |
Yan Li |
University of Michigan |
NLST |
Jul 6, 2017 |
NLST-326 |
