Open access
Aug 2026
Development of a deep learning model for detecting and measuring gallstones on computed tomography images.
The developed model achieves high sensitivity and precise automated gallstone segmentation on CT images and achieves overall sensitivities of 97.2%, 97.5%, 95.2%, 89.2%, and 98.2% across the training, validation, internal test, hold-out, and AMOS datasets.
Yue Gao, Yaofeng Zhang, Xiao-Dong Zhang et al.
· Abdominal Radiology · 0 citations