Detecting Adverse Pathology of Prostate Cancer With a Deep Learning Approach Based on a 3D Swin-Transformer Model and Biparametric MRI: A Multicenter Retrospective Study.

Litao ZhaoJie BaoXiming WangXiaomeng QiaoJunkang ShenYueyue ZhangPengfei JinYanting JiJi ZhangYueting SuLibiao JiZhenkai LiJian LuChunhong HuHailin ShenZhenyu Zhang Jiangang Liu

Published in: Journal of magnetic resonance imaging : JMRI (2023)

4 TECHNICAL EFFICACY: Stage 4.

Keyphrases

prostate cancer
deep learning
radical prostatectomy
contrast enhanced
magnetic resonance imaging
convolutional neural network
artificial intelligence
machine learning
cross sectional
magnetic resonance
adverse drug
clinical trial