openalexFrontiers in Cardiovascular Medicine2026-07-24
A deep learning model for the interpretable identification of pulmonary thromboembolism from computed tomography pulmonary angiography
Y Li, Sunyu Chen, Guangkun Chen, Baosheng Ren, 胡仕兵, Min Zong, et al.
Objective The rapid identification of pulmonary thromboembolism (PTE) on computed tomography pulmonary angiography (CTPA) is vital but labor-intensive, often leading to diagnostic delays. We aimed to construct and evaluate a YOLOv11 object detection algorithm capable of automatic…