MRI,怀.

Emiliano Bacchetti1, Axel De Nardin2, Gianluca Giannarini3

  • 1Institute of Radiology, Department of Medicine (DMED), University of Udine, and University Hospital "Santa Maria della Misericordia", ASU FC, P.le S. M. Della Misericordia 15, 33100 Udine, Italy.

Cancers
|July 12, 2025
PubMed
概括

集成临床和MRI数据的深度学习模型可以改善前列腺癌风险预测. 模型3,使用综合数据,增强分层,可能减少在临床上显著的前列腺癌检测中不必要的活检.