[基于注意力机制和多模式特征融合的大脑磁共振图像的全脑分片]
1School of Biomedical Engineering//Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou 510515, China.
概括
我们开发了一种深度学习算法 (DDAM),用于使用多式磁共振 (MR) 图像进行精确的全脑分片. 这种方法通过有效地融合多模式特征,显著提高了细分精度.
科学领域:
- 神经成像是一种神经成像.
- 人工智能的人工智能
- 计算神经科学是一种神经科学.
更多相关视频
17:06Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
Published on: November 8, 2012
26.2K
08:45Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
Published on: October 24, 2012
14.7K