Literature DB >> 15472755

Establishing an international reference image database for research and development in medical image processing.

A Horsch1, M Prinz, S Schneider, O Sipilä, K Spinnler, J-P Vallée, I Verdonck-de Leeuw, R Vogl, T Wittenberg, G Zahlmann.   

Abstract

INTRODUCTION: The lack of comparability of evaluation results is one of the major obstacles of research and development in Medical Image Processing (MIP). The main reason for that is the usage of different image datasets with different quality, size and Gold standard.
OBJECTIVES: Therefore, one of the goals of the Working Group on Medical Image Processing of the European Federation for Medical Informatics (EFMI WG MIP) is to develop first parts of a Reference Image Database.
METHODS: Kernel of the concept is to identify highly relevant medical problems with significant potential for improvement by MIP, and then to provide respective reference datasets. The EFMI WG MIP has primarily the role of a specifying group and an information broker, while the provider user relationships are defined by bilateral co-operation or license agreements.
RESULTS: An explorative database prototype has been implemented using the MySQL database software on the Web. Templates for provider user agreements have been worked out and already applied for own 'pre-RID-MIP' co-operations of the authors. DISCUSSION AND
CONCLUSION: First steps towards a comprehensive reference image database have been done. Issues like funding, motivation, management, provision of Gold standards and evaluation guidelines are to be solved. Due to the interest from research groups and industry the efforts will be continued.

Mesh:

Year:  2004        PMID: 15472755

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  4 in total

1.  Towards a repository for standardized medical image and signal case data annotated with ground truth.

Authors:  Thomas M Deserno; Petra Welter; Alexander Horsch
Journal:  J Digit Imaging       Date:  2012-04       Impact factor: 4.056

2.  Advancing biomedical image retrieval: development and analysis of a test collection.

Authors:  William R Hersh; Henning Müller; Jeffery R Jensen; Jianji Yang; Paul N Gorman; Patrick Ruch
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497

3.  Prototypes for content-based image retrieval in clinical practice.

Authors:  Adrien Depeursinge; Benedikt Fischer; Henning Müller; Thomas M Deserno
Journal:  Open Med Inform J       Date:  2011-07-27

4.  Isfahan MISP Dataset.

Authors:  Masoud Kashefpur; Rahele Kafieh; Sahar Jorjandi; Hadis Golmohammadi; Zahra Khodabande; Mohammadreza Abbasi; Nilufar Teifuri; Ali Akbar Fakharzadeh; Maryam Kashefpoor; Hossein Rabbani
Journal:  J Med Signals Sens       Date:  2017 Jan-Mar
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.