首页> 外文会议>European Signal Processing Conference(EUSIPCO 2005); 20050904-08; Antalya(TK) >EVALUATION OF THE QUALITY OF ULTRASOUND IMAGE COMPRESSION BY FUSION OF CRITERIA WITH A SUPPORT VECTOR MACHINE
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EVALUATION OF THE QUALITY OF ULTRASOUND IMAGE COMPRESSION BY FUSION OF CRITERIA WITH A SUPPORT VECTOR MACHINE

机译:利用支持向量机融合准则对超声图像压缩质量的评估

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摘要

In the framework ot a robotized tele-echography, ultrasound images are compressed and sent from a patient station to an expert one. An important task concerns the evaluation of the quality of the compressed images. Indeed, transmitted images are the only feedback information available to the medical expert to remotely control the distant robotized system and to propose a diagnosis. Our objective is to measure the image quality with a statistical criterion and with the same reliability as the medical assessment. We propose in this work a new method for the comparison of compression results. The proposed approach combines different statistical criteria and uses the medical assessment in a training phase with a support vector machine. We show the benefit of this methodology through some experimental results.
机译:在自动电波描记术的框架中,超声图像被压缩并从患者站发送到专家站。一个重要的任务涉及评估压缩图像的质量。实际上,传输的图像是医学专家可用于远程控制远程机器人系统并提出诊断的唯一反馈信息。我们的目标是使用统计标准和与医学评估相同的可靠性来测量图像质量。我们在这项工作中提出了一种比较压缩结果的新方法。所提出的方法结合了不同的统计标准,并在训练阶段使用支持向量机进行医学评估。我们通过一些实验结果证明了这种方法的好处。

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