Predicting muscle invasion in bladder cancer by deep learning analysis of MRI: comparison with vesical imaging-reporting and data system.
Jianpeng LiKangyang CaoHongxin LinLei DengShuiqing YangYun GaoManqiu LiangChuxuan LinWeijing ZhangChuanmiao XieKunlin ZhangJiexin LuoZhaohong PanPeiyan YueYujian ZouBingsheng HuangPublished in: European radiology (2022)
• The DL model shows robust performance for MIBC diagnosis in both internal and external validation. • The diagnostic performance of the DL model in the tumours scored VI-RADS 2 or 3 is better than that obtained by radiologists using VI-RADS. • The DL method shows potential in the preoperative assessment of MIBC.
Keyphrases
- deep learning
- artificial intelligence
- high resolution
- magnetic resonance imaging
- skeletal muscle
- patients undergoing
- machine learning
- big data
- contrast enhanced
- electronic health record
- adverse drug
- magnetic resonance
- emergency department
- risk assessment
- mass spectrometry
- convolutional neural network
- clinical evaluation