IPL at ImageCLEF 2017 Concept Detection Task
نویسندگان
چکیده
In this paper we present the methods and techniques performed by the IPL Group for the concept detection task of ImageCLEF 2017. A probabilistic k-nearest neighbor approach was used for automatically detecting multiple concepts in medical images. The visual representation of images was based on the well known, bag of visual words and bag-of-colors models. Detection performance was further enhanced by applying late fusion on the results obtained using different image representations. Our best results were ranked 2nd compared with runs under the same conditions.
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