期刊名称：International Journal of Distributed and Parallel Systems
印刷版ISSN：2229-3957
电子版ISSN：0976-9757
出版年度：2013
卷号：4
期号：4
DOI：10.5121/ijdps.2013.4401
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：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.
关键词：Medical image classification; parallel algorithms; super computing
