{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,2,9]],"date-time":"2023-02-09T01:08:17Z","timestamp":1675904897343},"reference-count":0,"publisher":"IGI Global","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009,1,1]]},"abstract":"<p>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.<\/p>","DOI":"10.4018\/jhisi.2009010106","type":"journal-article","created":{"date-parts":[[2011,2,15]],"date-time":"2011-02-15T18:50:52Z","timestamp":1297795852000},"page":"88-98","source":"Crossref","is-referenced-by-count":7,"title":["Putting the Content Into Context"],"prefix":"10.4018","volume":"4","author":[{"given":"Henning","family":"M\u00fcller","sequence":"first","affiliation":[{"name":"University and Hospitals of Geneva and University of Applied Sciences, Switzerland"}]},{"given":"Jayashree","family":"Kalpathy-Cramer","sequence":"additional","affiliation":[{"name":"Oregon Health and Science University, USA"}]}],"member":"2432","container-title":["International Journal of Healthcare Information Systems and Informatics"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=2244","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T04:46:41Z","timestamp":1654145201000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/jhisi.2009010106"}},"subtitle":["Features and Gaps in Image Retrieval"],"short-title":[],"issued":{"date-parts":[[2009,1,1]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2009,1]]}},"URL":"https:\/\/doi.org\/10.4018\/jhisi.2009010106","relation":{},"ISSN":["1555-3396","1555-340X"],"issn-type":[{"value":"1555-3396","type":"print"},{"value":"1555-340X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,1,1]]}}}