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Updated: Jun 17, 2026

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基于深度学习的脑MRI序列的识别,使用在大型多中心研究队列上训练的模型.

Mustafa Ahmed Mahmutoglu1, Chandrakanth Jayachandran Preetha1, Hagen Meredig1

  • 1From the Department of Neuroradiology (M.A.M., C.J.P., H.M., M.B., G.B., P.V.), Department of Neuroradiology, Division for Computational Neuroimaging (M.A.M., C.J.P., H.M., G.B., P.V.), and Department of Neurology (W.W.), Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany; Department of Neurosurgery, University Hospital Munich LMU, Munich, Germany (J.C.T.); and Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland (M.W.).

Radiology. Artificial intelligence
|January 2, 2024
PubMed
概括

一个新的卷积神经网络 (CNN) 在脑部扫描中准确识别了9种MRI序列类型. 这种深度学习工具提高了临床和研究神经放射学工作流程的效率.

关键词:
大脑/大脑干在CNS中,CNS是CNS.计算机应用-一般 (信息学)卷积神经网络 (CNN) 是一种神经网络.深度学习算法 深度学习算法磁共振成像 (MRI) 的使用.机器学习算法 机器学习算法神经网络的神经网络的神经网络

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