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Adaptative image flow in collaborative medical telediagnosis environments

机译:协作医疗远程诊断环境中的自适应图像流

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Telemedicine, the application of telecommunication in the medicine field, has been developed to meet major problems encountered in connecting doctors to collaborate with patients and other medical staff. Having a robust and efficient telemedical system has always been a challenge. The system needs to make the members in different locations capable of sharing medical data efficiently and without errors. In this work, we present a telemedical system that overcomes these challenges. We deploy a collaborative system and adapt data to store, visualize, modify and transfer fluorescence images in real time. We also make the system adaptive to communicate across different client platforms. We conduct experiments comparing our method with traditional collaborative system, and all results confirm our system is over others in terms of efficiency and robustness.
机译:远程医疗是电信在医学领域的应用,其开发目的是解决在连接医生与患者和其他医务人员进行协作时遇到的主要问题。拥有强大而高效的远程医疗系统一直是一个挑战。该系统需要使位于不同位置的成员能够有效共享医疗数据且没有错误。在这项工作中,我们提出了克服这些挑战的远程医疗系统。我们部署了一个协作系统,并调整数据以实时存储,可视化,修改和传输荧光图像。我们还使系统具有适应性,可以在不同的客户端平台之间进行通信。我们进行了实验,将我们的方法与传统协作系统进行了比较,所有结果都证明我们的系统在效率和鲁棒性方面优于其他系统。

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