Abstract
Digital management of medical images is becoming increasingly important as the number of images being created in medical settings everyday is growing rapidly. Content-based image retrieval or techniques based on the query-by-example paradigm have been studied extensively in computer vision. However, the global, low level visual features automatically extracted by these algorithms do not always correspond to high level concepts that a user has in his mind for searching. The role of image retrieval in diagnostic medicine can be quite complex, making it difficult for the user to express his/her information needs appropriately. Image retrieval in medicine needs to evolve from purely visual retrieval to a more holistic, case-based approach that incorporates various multimedia data sources. These include multiple images, free text, structured data, as well as external knowledge sources and ontologies.
Original language | English (US) |
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Pages (from-to) | 88-98 |
Number of pages | 11 |
Journal | International Journal of Healthcare Information Systems and Informatics (IJHISI) |
Volume | 4 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2009 |
ASJC Scopus subject areas
- Medicine (miscellaneous)
- Information Systems
- Information Systems and Management