Incorporating Image Processing in a Clinical Decision support system
Paul Taylor 
, Eugenio Alberdi, Richard Lee6, John Fox6, 1Margarita Sordo and Andrew Todd-Pokropek6
| (6) |
Centre for Health Informatics and Multiprofessional Education, University College London, Archway Campus,Highgate Hill, London, UK, N19 3UA |
Abstract
A prototype system to assist radiologists in the differential diagnosis of mammographic calcifications is presented. Our approach
is to incorporate image-processing operators within a knowledge-based decision support system. The work described in this
paper involves three stages. The first is to identify a set of terms that can represent the knowledge required in an example
of radiological decision-making. The next is to identify image processing operators to extract the required information from
the image. The final stage is to provide links between the set of symbolic terms and the image processing operators.
Acknowledgements This work was supported by the United Kingdom’s Engineering and Physical Sciences Research Council and the Imperial Cancer
Research Fund. The help of Drs Given-Wilson, Davies, Schneider, Cooke, Rankin, Nockler and their colleagues is gratefully
acknowledged.
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