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A holistic multimedia system for gastrointestinal tract disease detection

Pogorelov, Konstantin, Eskeland, Sigrun, de Lange, Thomas, Griwodz, Carsten, Randel, Kristin, Stensland, Håkon, Dang-Nguyen, Duc-Tien orcid logoORCID: 0000-0002-2761-2213, Concetto, Spampinato, Johansen, Dag, Riegler, Michael and Halvorsen, Pål (2017) A holistic multimedia system for gastrointestinal tract disease detection. In: ACM Multimedia Systems (MMSys ’17), 20–23 June 2017, Taipei, Taiwan. ISBN 978-1-4503-5002-0

Abstract
Analysis of medical videos for detection of abnormalities and dis- eases requires both high precision and recall, but also real-time processing for live feedback and scalability for massive screening of entire populations. Existing work on this field does not provide the necessary combination of retrieval accuracy and performance. In this paper, a multimedia system is presented where the aim is to tackle automatic analysis of videos from the human gastrointesti- nal (GI) tract. The system includes the whole pipeline from data collection, processing and analysis, to visualization. The system combines filters using machine learning, image recognition and extraction of global and local image features. Furthermore, it is built in a modular way so that it can easily be extended. At the same time, it is developed for efficient processing in order to provide real-time feedback to the doctors. Our experimental evaluation proves that our system has detection and localisation accuracy at least as good as existing systems for polyp detection, it is capable of detecting a wider range of diseases, it can analyze video in real-time, and it has a low resource consumption for scalability.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Interactive; Medicine; Gastrointestinal Tract; Medical Multimedia System; Performance; Evaluation
Subjects:Computer Science > Information storage and retrieval systems
Computer Science > Multimedia systems
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Published in: Proceedings of the 8th ACM on Multimedia Systems Conference (MMSys'17). Proceedings of the ACM on Multimedia Systems Conference 8. ACM. ISBN 978-1-4503-5002-0
Publisher:ACM
Official URL:https://doi.org/http://dx.doi.org/10.1145/3083187....
Copyright Information:© 2017 ACM New York, NY, USA
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Norwegian FRINATEK project ”EONS” (#231687)
ID Code:21820
Deposited On:03 Jul 2017 12:17 by Duc-Tien Dang-Nguyen . Last Modified 08 Nov 2021 15:03
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