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Real-Time Bleeding Detection in Gastrointestinal Tract Endoscopic Examinations Video

机译:胃肠道内窥镜检查视频中的实时出血检测

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The article presents a novel approach to medical video data analysis and recognition of bleedings. Emphasis has been put on adapting pre-existing algorithms dedicated to the detection of bleedings for realtime usage in a medical doctor’s office during an endoscopic examination. A real-time system for analyzing endoscopic videos has been designed according to the most significant requirements of medical doctors. The main goal of the performed research was to establish the possibility of ensuring the necessary performance of a given class of algorithms to introduce the solution into real life diagnostics. The structures of two exemplary algorithms for bleeding detection have been analyzed to distinguish and discuss parallelization options. After applying them to the algorithms, the usage of a supercomputer multimedia processing platform allowed to acquire the throughput and latency values required for realtime usage. Different configurations of the algorithms have been tested and their measured parameters have been provided and discussed.
机译:本文介绍了一种新颖的方法,用于医学视频数据分析和出血识别。重点放在改编现有的专用于检测出血的算法以在内窥镜检查期间在医生办公室实时使用。根据医生的最重要要求,已经设计了用于分析内窥镜视频的实时系统。进行研究的主要目的是确定确保给定算法类别的必要性能的可能性,以将解决方案引入现实生活中。已经分析了两种示例性的用于出血检测的算法的结构,以区分和讨论并行化选项。将它们应用于算法后,超级计算机多媒体处理平台的使用就可以获取实时使用所需的吞吐量和等待时间值。测试了算法的不同配置,并提供并讨论了它们的测量参数。

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