TY - JFULL AU - Lilac A. E. Al-Safadi PY - 2012/6/ TI - Content-based Retrieval of Medical Images T2 - International Journal of Biomedical and Biological Engineering SP - 126 EP - 130 VL - 6 SN - 1307-6892 UR - https://publications.waset.org/pdf/14452 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 65, 2012 N2 - With the advance of multimedia and diagnostic images technologies, the number of radiographic images is increasing constantly. The medical field demands sophisticated systems for search and retrieval of the produced multimedia document. This paper presents an ongoing research that focuses on the semantic content of radiographic image documents to facilitate semantic-based radiographic image indexing and a retrieval system. The proposed model would divide a radiographic image document, based on its semantic content, and would be converted into a logical structure or a semantic structure. The logical structure represents the overall organization of information. The semantic structure, which is bound to logical structure, is composed of semantic objects with interrelationships in the various spaces in the radiographic image. ER -