Oncology | Radiation Therapy | Radiology Deep learning for automatic gross tumor volumes contouring in esophageal cancer based on contrast-enhanced CT images: a multi-institutional study. March 3, 2024
Oncology | Pathology | Radiology Development and validation of a deep learning signature for predicting lymphovascular invasion and survival outcomes in clinical stage IA lung adenocarcinoma: A multicenter retrospective cohort study. February 7, 2024
Radiology Computer-aided diagnosis of distal metastasis in non-small cell lung cancer by low-dose CT based radiomics and deep learning signatures. January 12, 2024
Oncology | Pulmonology | Radiology | Thoracic Surgery A CT-based deep learning model: visceral pleural invasion and survival prediction in clinical stage IA lung adenocarcinoma. January 11, 2024
Oncology | Pathology | Radiology Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes. May 6, 2023
Oncology | Pulmonology | Radiology A CT-based deep learning model for subsolid pulmonary nodules to distinguish minimally invasive adenocarcinoma and invasive adenocarcinoma. November 27, 2021
Infectious Diseases | Pulmonology | Radiology Early prediction of severity in coronavirus disease (COVID-19) using quantitative CT imaging. May 31, 2021
Oncology | Pulmonology | Radiology Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas. June 28, 2020
Oncology | Pulmonology | Radiology Radiomics nomogram for preoperative differentiation of lung tuberculoma from adenocarcinoma in solitary pulmonary solid nodule. May 6, 2020