论文标题
用深神经网络对心脏MRI的定向识别和校正
Orientation recognition and correction of Cardiac MRI with deep neural network
论文作者
论文摘要
在本文中，研究了心脏MRI图像中的方向校正问题，并提出了通过深神经网络识别方向识别的框架。对于多模式MRI，我们引入了转移学习策略，将我们提出的模型从单个模态转移到多模式。我们将提出的网络嵌入到方向校正命令行工具中，该工具可以在2D DICOM和3D NIFTI图像上实现方向校正。我们的源代码，网络模型和工具可从https://github.com/jy-stdio/mscmr_orient/获得
In this paper, the problem of orientation correction in cardiac MRI images is investigated and a framework for orientation recognition via deep neural networks is proposed. For multi-modality MRI, we introduce a transfer learning strategy to transfer our proposed model from single modality to multi-modality. We embed the proposed network into the orientation correction command-line tool, which can implement orientation correction on 2D DICOM and 3D NIFTI images. Our source code, network models and tools are available at https://github.com/Jy-stdio/MSCMR_orient/
