胸部X光数据集与眼动追踪和报告口述

胸部X光数据集与眼动追踪和报告口述是由IBM研究阿尔马登研究中心开发的，旨在支持人工智能研究。该数据集包含1083张胸部X光图像，每张图像均配有眼动追踪数据、转录的放射学报告文本、放射科医生的口述音频和眼动坐标数据。数据集的创建过程涉及使用眼动追踪系统记录放射科医生在审查和报告X光图像时的眼动数据。该数据集的应用领域广泛，特别适用于可解释的多模态深度学习/机器学习方法，以及疾病分类和定位、自动化放射学报告生成和人机交互研究。

Chest X-ray dataset with eye tracking and report narration was developed by IBM Research Almaden Research Center to support artificial intelligence research. Comprising 1083 chest X-ray images, this dataset provides, for each image, eye tracking data, transcribed radiology report texts, dictation audio from radiologists, and eye movement coordinate data. The dataset was constructed by using eye tracking systems to record the eye movement data of radiologists while they reviewed the X-ray images and drafted their associated reports. It covers a wide range of application scenarios, and is particularly suitable for interpretable multimodal deep learning/machine learning methods, as well as research on disease classification and localization, automated radiology report generation, and human-computer interaction.