An Image-based Framework for Intellectual Decision Making in Medical Research

Sara Colantonio, Igor Gurevich, Ovidio Salvetti, Yulia Trusova

Abstract

Medical decisional problems strongly rely on the analysis and inter-pretation of diagnostic images acquired by different investigation techniques. Information extraction and correlation from these are usually demanding tasks that can burden the routine work of clinicians. In this paper, an image-based framework is presented which is devoted to the automated extraction of know-ledge and data from biomedical images used for intellectual decision making in clinical and medical research. An ontological approach is adopted for encoding different kind of knowledge required in problem solving. Modelling the pre-clinical stage of Parkinson's disease is presented as eligible case study.

References

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Paper Citation


in Harvard Style

Colantonio S., Gurevich I., Salvetti O. and Trusova Y. (2010). An Image-based Framework for Intellectual Decision Making in Medical Research . In Proceedings of the Third International Workshop on Image Mining Theory and Applications - Volume 1: IMTA, (VISIGRAPP 2010) ISBN 978-989-674-030-6, pages 60-67. DOI: 10.5220/0002962500600067


in Bibtex Style

@conference{imta10,
author={Sara Colantonio and Igor Gurevich and Ovidio Salvetti and Yulia Trusova},
title={An Image-based Framework for Intellectual Decision Making in Medical Research},
booktitle={Proceedings of the Third International Workshop on Image Mining Theory and Applications - Volume 1: IMTA, (VISIGRAPP 2010)},
year={2010},
pages={60-67},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002962500600067},
isbn={978-989-674-030-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Workshop on Image Mining Theory and Applications - Volume 1: IMTA, (VISIGRAPP 2010)
TI - An Image-based Framework for Intellectual Decision Making in Medical Research
SN - 978-989-674-030-6
AU - Colantonio S.
AU - Gurevich I.
AU - Salvetti O.
AU - Trusova Y.
PY - 2010
SP - 60
EP - 67
DO - 10.5220/0002962500600067