ITI's Participation in the 2013 Medical Track of ImageCLEF
Matthew S. Simpson, Daekeun You, Md. Mahmudur Rahman, Dina Demner‐Fushman, Sameer Antani, George R. Thoma · CLEF (Working Notes) · 2013
This article describes the participation of the Image and Text Integration (ITI) group in the ImageCLEF medical retrieval, classication, and segmentation tasks. Although our methods are similar to those we have explored at past ImageCLEF evaluations, we describe in this paper the results of our methods on the 2013 collection and set of topics. In doing so, we present our submitted textual, visual, and mixed runs and our results for each of the four tasks. Like our participation in previous evaluations, we found our methods to generally perform well for each task. In particular, our best ad-hoc retrieval submission was again ranked rst among all the submissions from the participating groups.