Integrating Eye-Gaze Data into CXR DL Approaches: A Preliminary study
André Luís, Chihcheng Hsieh, Isabel Blanco Nobre, Sandra Costa Sousa, Anderson Maciel +2 more
2/6/2023
cs.CVcs.AIcs.HC
No confident code implementation found for this paper.
Abstract
This paper proposes a novel multimodal DL architecture incorporating medical images and eye-tracking data for abnormality detection in chest x-rays. Our results show that applying eye gaze data directly into DL architectures does not show superior predictive performance in abnormality detection chest X-rays. These results support other works in the literature and suggest that human-generated data, such as eye gaze, needs a more thorough investigation before being applied to DL architectures.
