Abstract
We have developed a system that aims to help trainees learn a systematic method of describing MR brain images by means of a structured image description language (IDL). The training system makes use of an archive of cases previously described by an expert neuroradiologist. The system utilises a visualisation method - an Overview Plot - which allows the trainee to access individual cases in the database as well as view the overall distribution of cases within a disease and the relative distribution of different diseases. This paper describes the evolution of the image description training system towards a decision support training system, based on the diagnostic notion of a “small world”. The decision support training system will employ components from the image description training system, so as to provide a uniform interface for training and support.
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du Boulay, B. et al. (1999). From Description to Decision: Towards a Decision Support Training System for MR Radiology of the Brain. In: Horn, W., Shahar, Y., Lindberg, G., Andreassen, S., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIMDM 1999. Lecture Notes in Computer Science(), vol 1620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48720-4_8
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DOI: https://doi.org/10.1007/3-540-48720-4_8
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