Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance.

导出 OA

翻译打印收藏纠错

作者： Jeffrey D,Rudie ^[1] ; Jeffrey,Duda ^[2] ; Michael Tran,Duong ^[2] ; Po-Hao,Chen ^[3] ; Long,Xie ^[2] ; Robert,Kurtz ^[2] ; Jeffrey B,Ware ^[2] ; Joshua,Choi ^[2] ; Raghav R,Mattay ^[2] ; Emmanuel J,Botzolakis ^[4] ; James C,Gee ^[2] ; R Nick,Bryan ^[5] ; Tessa S,Cook ^[2] ; Suyash,Mohan ^[2] ; Ilya M,Nasrallah ^[2] ; Andreas M,Rauschecker ^[6]

作者单位： Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, PA, Philadelphia, USA. Jeff.Rudie@gmail.com.;Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA. Jeff.Rudie@gmail.com. ^[1] Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, PA, Philadelphia, USA. ^[2] Department of Radiology, Cleveland Clinic Imaging Institute, Cleveland, OH, USA. ^[3] Mecklenburg Radiology Associates, Charlotte, NC, USA. ^[4] Department of Diagnostic Medicine, Dell Medical School, University of Texas, Austin, TX, USA. ^[5] Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, PA, Philadelphia, USA.;Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA. ^[6]

关键词 Artificial intelligence Augmented performance Bayesian inference Brain MRI Clinical decision support Convolutional neural networks Deep learning Neuroradiology U-Net

主题词贝叶斯定理(Bayes Theorem);脑(Brain);人类(Humans);磁共振成像(Magnetic Resonance Imaging);放射学(Radiology)

DOI 10.1007/s10278-021-00470-1

PMID 34131794

发布时间 2024-08-15

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交