Dsmt-Net: A Dual-Scale Multi-Task Learning Framework for Invasiveness Prediction of Medium-Sized Pulmonary Nodules
Non-invasive diagnosis of pulmonary nodule invasiveness via CT imaging is critical for clinical management. However, assessing the status of medium-sized nodules (10-20 mm) remains a significant challenge for both radiologists and deep learning models. To add...
Proffered Program · Diagnostic and Interventional Radiology Physics