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From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System

From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System MICHAEL RIEGLER and KONSTANTIN POGORELOV, Simula Research Laboratory and University of Oslo SIGRUN LOSADA ESKELAND, Bærum Hospital, Vestre Viken Hospital Trust PETER THELIN SCHMIDT, Karolinska Institutet, Department of Medicine, Solna and Karolinska University Hospital, Center for Digestive Diseases, Stockholm ZENO ALBISSER, Simula Research Laboratory and University of Oslo DAG JOHANSEN, UiT - The Arctic University of Norway CARSTEN GRIWODZ and PÅL HALVORSEN, Simula Research Laboratory and University of Oslo THOMAS DE LANGE, Bærum Hospital, Vestre Viken Hospital Trust and Cancer Registry of Norway Holistic medical multimedia systems covering end-to-end functionality from data collection to aided diagnosis are highly needed, but rare. In many hospitals, the potential value of multimedia data collected through routine examinations is not recognized. Moreover, the availability of the data is limited, as the health care personnel may not have direct access to stored data. However, medical specialists interact with multimedia content daily through their everyday work and have an increasing interest in finding ways to use it to facilitate their work processes. In this article, we present a novel, holistic multimedia system aiming to tackle automatic analysis of video from gastrointestinal (GI) http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) Association for Computing Machinery

From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System

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References (70)

Publisher
Association for Computing Machinery
Copyright
Copyright © 2017 by ACM Inc.
ISSN
1551-6857
DOI
10.1145/3079765
Publisher site
See Article on Publisher Site

Abstract

From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System MICHAEL RIEGLER and KONSTANTIN POGORELOV, Simula Research Laboratory and University of Oslo SIGRUN LOSADA ESKELAND, Bærum Hospital, Vestre Viken Hospital Trust PETER THELIN SCHMIDT, Karolinska Institutet, Department of Medicine, Solna and Karolinska University Hospital, Center for Digestive Diseases, Stockholm ZENO ALBISSER, Simula Research Laboratory and University of Oslo DAG JOHANSEN, UiT - The Arctic University of Norway CARSTEN GRIWODZ and PÅL HALVORSEN, Simula Research Laboratory and University of Oslo THOMAS DE LANGE, Bærum Hospital, Vestre Viken Hospital Trust and Cancer Registry of Norway Holistic medical multimedia systems covering end-to-end functionality from data collection to aided diagnosis are highly needed, but rare. In many hospitals, the potential value of multimedia data collected through routine examinations is not recognized. Moreover, the availability of the data is limited, as the health care personnel may not have direct access to stored data. However, medical specialists interact with multimedia content daily through their everyday work and have an increasing interest in finding ways to use it to facilitate their work processes. In this article, we present a novel, holistic multimedia system aiming to tackle automatic analysis of video from gastrointestinal (GI)

Journal

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) – Association for Computing Machinery

Published: May 31, 2017

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