Real-Time Bleeding Detection in Gastrointestinal Tract Endoscopic Examinations Video - Publication - Bridge of Knowledge

Search

Real-Time Bleeding Detection in Gastrointestinal Tract Endoscopic Examinations Video

Abstract

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 real-time 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 real-time usage. Different configurations of the algorithms have been tested and their measured parameters have been provided and discussed.

Citations

  • 1

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:
International Journal of Distributed and Parallel Systems no. 4, pages 1 - 12,
ISSN: 2229-3957
Language:
English
Publication year:
2013
Bibliographic description:
Blokus A., Brzeski A., Cychnerski J.: Real-Time Bleeding Detection in Gastrointestinal Tract Endoscopic Examinations Video// International Journal of Distributed and Parallel Systems. -Vol. 4., nr. 4 (2013), s.1-12
DOI:
Digital Object Identifier (open in new tab) 10.5121/ijdps.2013.4401
Verified by:
Gdańsk University of Technology

seen 95 times

Recommended for you

Meta Tags