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Quality of Service aware Medical CT Image Transmission Anti-collision Mechanism Based on Big Data Autonomous Anti-collision Control

机译:基于大数据自主防碰撞控制的服务意识式医疗CT图像传输防碰撞机制

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摘要

Background: At present, due to the limitation of hardware, software and networktransmission performance, the medical diagnosis of medical CT image equipment is easy to be carriedout based on the wrong image. In addition, due to the complex structure of human organs andunpredictable lesion location, it is difficult to judge the reliability of medical CT images, spatiallocalization of the lesion, two-dimensional slice images and shape based on stereotypes. Therefore, howto improve the efficiency of medical CT terminal and the image quality has become the key technologyto improve the satisfaction of medical diagnosis and treatment.Objective: To improve the work efficiency of medical CT terminal and medical image transmissionquality, with the medical CT terminal state and service quality.Methods: Firstly, from the view of throughput, packet loss rate, delay and so on, a QoS aware model formedical CT image transmission has been established. Then, with throughput, packet length, path loss,service area size, access point location, and the number of medical CT terminals, the performancechange regulation of the medical CT image transmission is completed and the optimal quality of serviceguarantee parameters sequence is obtained. Next, the medical CT image big data autonomous collisioncontrol scheme is proposed.Results: The experimental and mathematical results verify the real-time performance, reliability,effectiveness and feasibility of the proposed medical CT image transmission anti-collision mechanism.Conclusion: The proposed scheme can satisfy the high-quality high demand for data transmission at thesame time, according to a variety of user experience demand and real-time adjustment of medical CTterminal working state, which provides effective data quality assurance and optimization of the networksource distribution, and also enhances the quality of medical image data transmission service.
机译:背景:目前,由于硬件,软件和网络传输性能的限制,医疗CT图像设备的医学诊断易于基于错误的图像携带。此外,由于人机的综合结构和不可预测的病变位置,难以判断医疗CT图像的可靠性,基于刻板印象的损伤,二维切片图像和形状的瞬间。因此,如何提高医疗CT终端的效率和图像质量已成为改善医学诊断和治疗的满意度的关键技术。目的:提高医疗CT终端的工作效率和医学图像运输质量,用医疗CT终端状态和服务质量。一般情况下,从吞吐量,丢包率,延迟等的看法,已经建立了QoS认识模型形成CT图像传输。然后,利用吞吐量,分组长度,路径损耗,服务区域大小,接入点位置和医用CT端子的数量,完成了医疗CT图像传输的性能调节,获得了服务的优化质量。接下来,提出了医疗CT图像大数据自治校准控制方案。结果:实验和数学结果验证了所提出的医疗CT图像传输防碰撞机制的实时性能,可靠性,有效性和可行性。结论:所提出的计划根据医疗CTTerminal工作状态的各种用户体验需求和实时调整,可以满足CHESAME时间的高质量对数据传输的高需求,提供有效的数据质量保证和网络资源分布的优化,并增强医学图像数据传输服务的质量。

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