Oncology | Radiology | Thoracic Surgery Advances in the prediction of spread through air spaces with imaging in lung cancer: a narrative review. April 10, 2023
Neurology | Oncology | Radiology Differentiation between spinal multiple myeloma and metastases originated from lung using multi-view attention-guided network. September 26, 2022
Neurology | Oncology | Radiology Differentiation of benign and malignant spinal schwannoma using guided attention inference networks on multi-source MRI: comparison with radiomics method and radiologist-based clinical assessment. August 30, 2022
Pathology | Radiology Development, Validation, and Comparison of Image-Based, Clinical Feature-Based and Fusion Artificial Intelligence Diagnostic Models in Differentiating Benign and Malignant Pulmonary Ground-Glass Nodules. June 24, 2022
Oncology | Pulmonology | Radiology 3D multi-scale, multi-task, and multi-label deep learning for prediction of lymph node metastasis in T1 lung adenocarcinoma patients’ CT images. October 5, 2021
Oncology | Pathology | Radiology Predicting the invasiveness of lung adenocarcinomas appearing as ground-glass nodule on CT scan using multi-task learning and deep radiomics. September 21, 2020
Oncology | Pathology | Radiology A cross-modal 3D deep learning for accurate lymph node metastasis prediction in clinical stage T1 lung adenocarcinoma. May 11, 2020