Artificial intelligence for the analysis of workload-related changes in radiologists' gaze patterns

I Pershin, M Kholiavchenko, B Maksudov… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Around 60-80% of radiological errors are attributed to overlooked abnormalities, the rate of
which increases at the end of work shifts. In this study, we run an experiment to investigate if …

Predicting radiologist attention during mammogram reading with deep and shallow high-resolution encoding

J Lou, H Lin, D Marshall, R White… - … on Image Processing …, 2022 - ieeexplore.ieee.org
Radiologists' eye-movement during diagnostic image reading reflects their personal training
and experience, which means that their diagnostic decisions are related to their perceptual …

Time-interval visual saliency prediction in mammogram reading

J Lou, X Wu, R White, Y Wu… - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
Radiologists' eye movements during medical image interpretation reflect their perceptual-
cognitive behaviour and correlate with diagnostic decisions. Previous study has shown the …

Image Recognition Imitating Saccadic Eye Movement in Grid Cell Net

Y Matsuda, K Niwa, T Aoki… - 2024 Joint 13th …, 2024 - ieeexplore.ieee.org
This paper proposes an autonomous focal location transition method that imitates saccadic
eye movement for image recognition. Grid Cell Net (GCN) is an image recognition algorithm …