| Development and external validation of a deep learning model for lung cancer pathological grading |
Runhuang Yang |
China Capital Medical University |
NLST |
Apr 12, 2024 |
NLST-1231 |
| Optimization of nodule management strategies in lung cancer screening for high-risk populations |
Tiantian Zhang |
Jinan University |
NLST |
Apr 10, 2024 |
NLST-1228 |
| Screening lung cancer from CT scans through deep learning and assistive AI |
Amulya Mathur |
Carnegie Mellon University |
NLST |
Apr 2, 2024 |
NLST-1225 |
| Probabilistic Analysis of NLST data and prediction |
Jyoti Bhadana |
University of Alberta |
NLST |
Apr 2, 2024 |
NLST-1224 |
| Enhancing Pulmonary Involvement Assessment in Computed Tomography Scans Using Predictive Models Based on Demographics and Anatomical Measurements |
Alysson Carvalho |
ID'Or |
NLST |
Apr 2, 2024 |
NLST-1222 |
| AI-assisted Lung Nodule Detection in Radiology |
Anita Blazevic |
FH Technikum Vienna |
NLST |
Mar 27, 2024 |
NLST-1215 |
| Improving risk stratification of uncertain pulmonary nodules based on deep learning method |
yulu Wu |
zhongyuan university of technology |
NLST |
Mar 25, 2024 |
NLST-1219 |
| Topological biomarker in lung adenocarcinoma |
Senyi Deng |
West China Hospital |
NLST |
Mar 25, 2024 |
NLST-1209 |
| A Hybrid Classical-Quantum Neural Network to Predict Future Lung Cancer Risk From a Single Low-Dose CT |
Weixin Lu |
New York University |
NLST |
Mar 25, 2024 |
NLST-1208 |
| XECAN and Rescue Lung CTLS Registry |
Bin Yang |
XECAN Smart Safe Oncology |
NLST |
Mar 25, 2024 |
NLST-1203 |
| Segmentation of future lung cancer from LDCT screening scans. |
Daniel Truhn |
Department of Diagnostic and Interventional Radiology of the University Hospital Aachen (Germany) |
NLST |
Mar 12, 2024 |
NLST-1207 |
| Research on fusion algorithm for CT images and pathological images based on attention mechanism |
YUYI TAN |
Sun Yat-sen University |
NLST |
Mar 11, 2024 |
NLST-1204 |
| Anomaly Detection in Lung CT Scans through AWS SageMaker: A Machine Learning Approach |
Emma Kang |
University of California at Berkeley |
NLST |
Mar 11, 2024 |
NLST-1202 |
| Feasibility of colorectal and lung cancer screening using machine learning towards effective screening and early detection |
Sujin Kim |
University of Kentucky |
NLST |
Feb 29, 2024 |
NLST-1200 |
| Validation of a multimodal generative model for lung cancer and tuberculosis detection on chest radiograph in screening population |
Amy Hong |
Kakaobrain |
NLST |
Feb 26, 2024 |
NLST-1197 |
| Long-Term Mortality Patterns Following Lung Cancer Subtype Resections: A Comparative Analysis of NLST Data |
Christopher Towe |
Department of Surgery, University Hospitals Cleveland Medical Center, Case Western Reserve University |
NLST |
Feb 26, 2024 |
NLST-1196 |
| Reassessing Efficacy: Understanding Failures in Lung Cancer Screening Despite Low-Dose CT Protocol Adherence |
Christopher Towe |
Department of Surgery, University Hospitals Cleveland Medical Center, Case Western Reserve University |
NLST |
Feb 26, 2024 |
NLST-1195 |
| Automated Machine Learning System for Analysis and Interpretation of Lung CT images |
John Pepper |
National Cancer institute, Division of Cancer Prevention |
NLST |
Feb 14, 2024 |
NLST-1194 |
| Clinical Lung Cancer Screening Model |
Dragos Zanchi |
Pulmonary and Sleep of Tampa Bay PL |
NLST |
Feb 14, 2024 |
NLST-1193 |
| Microsimulation model of a risk-based lung cancer screening program |
Jacopo Di Silvestre |
University of Oslo |
NLST |
Jan 26, 2024 |
NLST-1191 |
