Medical Image Perception

Insights about the behavioural and cognitive aspects that underlie the processes of reading medical images and their subsequent diagnosis by radiologists, are useful in many areas such as design of displays, improving training to reduce performance errors of radiologists, etc. We are interested in using such insights to develop visual search models and design novel image analysis algorithms.

Our current work focusses on the problem of reading and diagnosing from chest X-ray images. Specifically, studies are underway to understand the relationship between gaze patterns and abnormality detection performance.

People Involved