IASTED-HCI '07 Proceedings of the Second IASTED International Conference on Human Computer Interaction
Ontology-based mammography annotation and Case-based Retrieval of breast masses
Expert Systems with Applications: An International Journal
Uncertainty modeling for ontology-based mammography annotation with intelligent BI-RADS scoring
Computers in Biology and Medicine
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Computer Aided Diagnosis (CAD) systems, as secondopinion assistance to radiologists, are being developed. However, the lack of semantic information at the image processing stage is expected to limit the ultimate performance of such CAD systems. A solution can be provided by a specific medical domain terminology, which contains several concepts that describe features of abnormalities and the relationships (properties) between these concepts; as such is well readable by both human beings (radiologists) and machine agents (CAD systems). Here we investigate a specific ontology and provide a clear evaluation based on string and Description Logic (DL). The results provide a clear understanding of semantic medical image analysis with which CAD systems are expected to improve their performance.