Dictionary pruning with visual word significance for medical image retrieval
نویسندگان
چکیده
منابع مشابه
Dictionary pruning with visual word significance for medical image retrieval
Content-based medical image retrieval (CBMIR) is an active research area for disease diagnosis and treatment but it can be problematic given the small visual variations between anatomical structures. We propose a retrieval method based on a bag-of-visual-words (BoVW) to identify discriminative characteristics between different medical images with Pruned Dictionary based on Latent Semantic Topic...
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Otávio A. B. Penattia,∗, Fernanda B. Silva, Eduardo Valle, Valerie Gouet-Brunet, Ricardo da S. Torres RECOD Lab, Institute of Computing (IC), University of Campinas (Unicamp) – Av. Albert Einstein, 1251, Campinas, SP, 13083-852, Brazil Department of Computer Engineering and Industrial Automation (DCA), School of Electrical and Computer Engineering (FEEC), University of Campinas (Unicamp) – Av. ...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2016
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2015.11.008