UESTC at ImageCLEF 2012 Medical Tasks
Hong Qi Wu, Kuangkai Sun, Xianzhi Deng, Yi Zhang, Bili Che · 2012
Abstract. This paper describes the methods used and results archived by our research group in the ImageCLEF 2012 medical retrieval and classification tasks. We performed three sub-tasks, ad-hoc retrieval, case-based retrieval, and modality classification. For the retrieval tasks, we combined semantic-based retrieval with traditional text-based retrieval. The semantic-based retrieval was conducted by comparing query concepts and document concepts with semantic similarity measure, and asymmetric similarity measures were also proposed by modifying the existing symmetric measures. For the modality classification task, we used multiple kernel learning to combine various visual features.