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Integrating Eye-Gaze Data into CXR DL Approaches: A Preliminary study

ArXiv Preprint

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.

André Luís, Chihcheng Hsieh, Isabel Blanco Nobre, Sandra Costa Sousa, Anderson Maciel, Catarina Moreira, Joaquim Jorge

2023-02-06