Xu Lu, Zengzhen Cui, Yihua Sun, Hee Guan Khor, Ao Sun, Longfei Ma, Fang Chen, Shan Gao, Yun Tian, Fang Zhou, Yang Lv, Hongen Liao
Proximal femoral fracture segmentation in computed tomography (CT) is essential in the preoperative planning of orthopedic surgeons. Recently, numerous deep learning-based approaches have been proposed for segmenting various structures within CT scans. Nevertheless, distinguishing various attributes between fracture fragments and soft tissue regions in CT scans frequently poses challenges, which have received comparatively limited research attention. Besides, the cornerstone of contemporary deep learning methodologies is the availability of annotated data, while detailed CT annotations remain scarce...
April 23, 2024: IEEE Transactions on Medical Imaging