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Visual Character N-Grams for Classification and Retrieval of Radiological Images
2014
The International Journal of Multimedia & Its Applications
Diagnostic radiology struggles to maintain high interpretation accuracy. Retrieval of past similar cases would help the inexperienced radiologist in the interpretation process. Character n-gram model has been effective in text retrieval context in languages such as Chinese where there are no clear word boundaries. We propose the use of visual character n-gram model for representation of image for classification and retrieval purposes. Regions of interests in mammographic images are represented
doi:10.5121/ijma.2014.6204
fatcat:avwsnclfpzd5ldyiihufrjwwvu