A monohierarchical multiaxial classification code for medical images in content-based retrieval

Large efforts have been made for general applications of content-based image retrieval (CBIR). Established CBIRsystems globally evaluate color, texture, and also shape for retrieval. In medical imaging, local image characteristics are fundamental for image interpretation, which is based on a large amount of a-priori knowledge. Therefore, CBIR is rather seldom applied to medical images. Successful approaches strongly focus on a certain imaging modality and restrict queries to a well-defined diagnostic background. With respect to a general image retrieval in medical applications (IRMA), the system needs to determine the kind of image dealing with at a very early stage of processing to enable knowledge modeling required in further processing steps. In particular,

• Type: Conference
• Year: 2002
• Where: ISBI
• Authors: Thomas Martin Lehmann, Berthold B. Wein, Daniel Keysers, Michael Kohnen, Henning Schubert
• Keywords: Content-based Image Retrieval, General Image Retrieval, ISBI 2002, Local Image Characteristics, Medical Imaging