通过给出适当的适应度函数，寻找出全局的最优解，并得到配准结果，这为医学临床诊断多模态信息融合提供了一种方法。
By giving suitable fitness function, global optimal solution was found and result of registration was given. A method was provided for clinical diagnosis.
提出一种有效地融合多模态信息来检测足球视频精彩事件的系统算法和框架。
This paper proposed a framework to fuse multimodal features to detect soccer highlights.
作为当今医学影像技术研究中的热点问题之一，多模态医学影像融合技术的研究及其研究成果，对认知科学的研究和临床治疗有着重要的意义。
Multi-Modality fusion is one of the hottest discussed issues in the current research of medical image processing and it has a deep impact on the cognitive science and clinical treatment.
本文主要内容是关于多模态医学图像融合的研究和实现。
This paper aims at pilot study on multimodality medical image fusion.
多模态医学图像融合在医学图像的分析和诊断上具有极为重要的应用价值。
Multi-modality medical image fusion plays an important role in medical analysis and diagnosis.
为了实现多模态医学图像的配准融合，提出一种加快寻优的医学图像互信息配准算法实现CT和MR图像的配准。
A new medical image mutual information registration method, which can speedup the optimized process is proposed for CT and MR medical image auto rigid registration.
融合二维和三维信息的多模态人脸识别可望取得更好的识别效果。
Several algorithms on 3D and multi-modal face recognition have been investigated in this dissertation.
医学成像新技术、多模态医学成像的图像与信息融合、大数据病例的挖掘，是实现临床精准医疗的重要工程基础。
Precision Medicine relies on advent medical imaging technique, fusion of multi-modality medical imaging and information, and large-scale data mining on medical cases.
提出了一种全自动、多模态的信息融合解决方案用于配准视频图像和磁跟踪数据。
The paper reports a fully-automated, multiple-modality sensor data registration scheme between video and magnetic tracker data.
提出了一种全自动、多模态的信息融合解决方案用于配准视频图像和磁跟踪数据。
The paper reports a fully-automated, multiple-modality sensor data registration scheme between video and magnetic tracker data.
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