dc.creator | Bugatti, Pedro Henrique | |
dc.creator | Kaster, Daniel S | |
dc.creator | Silva, Marcelo Ponciano da | |
dc.creator | Traina Junior, Caetano | |
dc.creator | Marques, Paulo Mazzoncini de Azevedo | |
dc.creator | Traina, Agma Juci Machado | |
dc.date.accessioned | 2014-02-21T17:02:02Z | |
dc.date.accessioned | 2018-07-04T16:42:35Z | |
dc.date.available | 2014-02-21T17:02:02Z | |
dc.date.available | 2018-07-04T16:42:35Z | |
dc.date.created | 2014-02-21T17:02:02Z | |
dc.date.issued | 2014-02-01 | |
dc.identifier | Computers in Biology and Medicine, Oxford, v.45, p.8-19, 2014. | |
dc.identifier | http://www.producao.usp.br/handle/BDPI/44031 | |
dc.identifier | 10.1016/j.compbiomed.2013.11.015 | |
dc.identifier | http://dx.doi.org/10.1016/j.compbiomed.2013.11.015 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1639285 | |
dc.description.abstract | In this paper, we present a novel approach to perform similarity queries over medical images, maintaining the semantics of a given query posted by the user. Content-based image retrieval systems relying on relevance feedback techniques usually request the users to label relevant/irrelevant images. Thus, we present a highly effective strategy to survey user profiles, taking advantage of such labeling to implicitly gather the user perceptual similarity. The profiles maintain the settings desired for each user, allowing tuning of the similarity assessment, which encompasses the dynamic change of the distance function employed through an interactive process. Experiments on medical images show that the method is effective and can improve the decision making process during analysis. | |
dc.language | eng | |
dc.publisher | Pergamon-Elsevier | |
dc.publisher | Oxford | |
dc.relation | Computers in Biology and Medicine | |
dc.rights | Copyright Elsevier | |
dc.rights | restrictedAccess | |
dc.subject | Perceptual similarity | |
dc.subject | User profiles | |
dc.subject | Distance functions | |
dc.subject | CBIR | |
dc.subject | Medical images | |
dc.title | PRoSPer: perceptual similarity queries in medical CBIR systems through user profiles | |
dc.type | Artículos de revistas | |