Content-Based Image Retrieval: Major Challenges for Medical Application
- Thomas Deserno (Aachen University of Technology, Germany)
- L. Rodney Long (National Library of Medicine, NIH, USA)
- Sameer Antani (National Library of Medicine, NIH, USA)
- Hayit Greenspan (Tel Aviv-University, Israel)
- Henning Müller (University and Hospitals of Geneva, Switzerland)
- Agma Traina (University of São Paulo at São Carlos, Brazil)
Date: February 19, 2008
About the workshop:
Papers published in the technical literature regularly report on experimental implementation of Content-Based Image Retrieval (CBIR) algorithms and prototype systems, yet the use of CBIR technology for either biomedical research or clinical routine appears to be very limited. While there is widespread enthusiasm for CBIR among the engineering research community, the incorporation of this technology into the solution of practical medical problems is a goal yet to be realized. The obstacles to the use of CBIR in medicine include:
- The lack of effective collaborations between medical and engineering experts.
- The lack of effective representation of the medical content by low-level mathematical features.
- The lack of thorough evaluation of CBIR concepts.
- The lack of appropriate tools for medical experts to experiment with a CBIR application.
This workshop aims to bring together CBIR researchers in a forum to present an overview of where we stand on moving CBIR into practical biomedical use, with the goal of creating new synergy between the medical and engineering communities for the use of this technology.