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Considering network bandwidth limitations and other restrictions that are associated with handling medical data, the images are processed locally and a pointer is distributed in the network. For the distribution of this pointer, the authors propose a function that maps the pointer of each image to a node with similar contents.<\/p>","DOI":"10.4018\/jcmam.2011010104","type":"journal-article","created":{"date-parts":[[2011,10,19]],"date-time":"2011-10-19T16:08:40Z","timestamp":1319040520000},"page":"60-79","source":"Crossref","is-referenced-by-count":0,"title":["Similarity Searching of Medical Image Data in Distributed Systems"],"prefix":"10.4018","volume":"2","author":[{"given":"Amalia","family":"Charisi","sequence":"first","affiliation":[{"name":"University of Patras, Greece"}]},{"given":"Panagiotis","family":"Korvesis","sequence":"additional","affiliation":[{"name":"University of Patras, Greece"}]},{"given":"Vasileios","family":"Megalooikonomou","sequence":"additional","affiliation":[{"name":"University of Patras, Greece, and Temple University, USA"}]}],"member":"2432","reference":[{"key":"jcmam.2011010104-0","doi-asserted-by":"crossref","unstructured":"Antani, S. 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