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Increased interest in medical imaging has resulted in development of a variety of image analysis systems. Many of these systems follow the ‘computer-aided diagnosis’ paradigm. In this paradigm, the main function of the image analysis system is to help medical professionals (e.g. radiologists, pathologists, dermatologists) in their decision-making, instead of making decisions on their behalf. If a system is designed to help medical professionals, its logic, development methodology and evaluation should be transparent to its users.
In this talk, we will describe how to develop an image analysis system: how to translate medical knowledge into algorithms, how to supplement this knowledge with pattern recognition methods, and how to evaluate such systems with carefully designed reader studies with the participation of medical professionals of varying levels of experience.
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