Breast cancer detection based on the analysis of radiographies (radiolog -senology) is a complex process, which requires tool support. In this paper, we present a system dedicated to the training of radiologists-senologists. The system is grounded on case-based reasoning, which enables junior radiologists to have access to the expertise of confirmed radiologists. After an introduction to the system, we focus on the case representation model, which uses the UML notation and has been validated on about thirty real cases. Link to the article
DEMIGHA, S. and PRAT, N. (2004). A Cased-based Training System in Radiology-senology. In: International Conference on Information and Communication Technologies: From Theory to Applications. ICTTA'04 Proceedings. Damascus: Institute of Electrical and Electronics Engineers (IEEE), pp. 1-6.