A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations
We propose an image retrieval system that considers the semantic of medical images. It relies on semantic annotation of the images and evaluation of their similarities. Image similarity is computed using ontological relations in a hierarchical fashion. It provides a means of capturing the semantic correlations between image contents. Evaluation on the retrieval of liver CT images proved the interest of this system.
image retrieval ontologies semantic image annotation semantic-based distances computed tomographic (ct) images liver lesions