Work

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

Year: 2023

Type: conference-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.

Source: IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)

DOI: 10.1109/vrw58643.2023.00048