Inter-media Concept-Based Medical Image Indexing and Retrieval with UMLS at IPAL

Abstract. We promote the use of explicit medical knowledge to solve retrieval of information both visual and textual. For text, this knowledge is a set of concepts from a Meta-thesaurus, the Unified Medical Language System (UMLS). For images, this knowledge is a set of semantic features that are learned from examples using SVM within a structured learning framework. Image and text index are represented in the same way: a vector of concepts. The use of concepts allows the expression of a common index form: an inter-media index, offering the opportunity of homogeneous indexing/querying time fusion techniques. Top results obtained with concept based approaches show the potential of conceptual indexing.

• Type: Conference
• Year: 2006
• Where: CLEF
• Authors: Caroline Lacoste, Jean-Pierre Chevallet, Joo-Hwee Lim, Diem Thi Hoang Le, Wei Xiong, Daniel Racoceanu, Roxana Teodorescu, Nicolas Vuillemenot
• Keywords: CLEF 2006, Explicit Medical Knowledge, Information Management, Structured Learning Framework, Unified Medical Language System