Model-shared subspace boosting for multi-label classification
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Multimodal medical image retrieval: image categorization to improve search precision
Proceedings of the international conference on Multimedia information retrieval
Classifier fusion for SVM-based multimedia semantic indexing
ECIR'07 Proceedings of the 29th European conference on IR research
Proceedings of the ACM International Conference on Image and Video Retrieval
Medical Image Categorization and Retrieval for PACS Using the GMM-KL Framework
IEEE Transactions on Information Technology in Biomedicine
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Automatic recognition or classification of medical image modality can provide valuable information for medical image retrieval and analysis. In this paper, we discuss an application of SVM ensemble classifiers to the problem, and explore a confidence indicator based late fusion method to resolve ambiguity across competing classes. Using a matrix of closeness and a set of additional fusion rules, the proposed method improves the classification performance by only subjecting likely misclassified samples to a text-based classifier followed by additional fusion of both image-based classification and text-based classification results. An empirical evaluation using standard ImageClef2010 Medical Retrieval data show very promising performance for the proposed approach.