medical3 [Medical][Data] Creation and validation of a chest X-ray dataset with eye-tracking and report dictation for AI development, Sci Data 8, 92 (2021)(논문리뷰) ✨ ABSTRACT○ Developing a rich dataset : CXR image, transcribed radiology report text, radiologist's dictation audio and eye gaze coordinates data.○ Validating dataset by using deep learning experiments . ✨ BACKGROUND○ In the past five decades eye-tracking has been extensively used in radiology for education, perception understadning, and fatigue measurement.더보기1. Waite, S. A. et al. Analysis.. 2024. 1. 11. [AI][Medical] Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis (IEEE Trans Med Imaging. 2022 Jul) (논문리뷰) 원문출처: https://ieeexplore.ieee.org/document/9694633 Follow My Eye: Using Gaze to Supervise Computer-Aided DiagnosisWhen deep neural network (DNN) was first introduced to the medical image analysis community, researchers were impressed by its performance. However, it is evident now that a large number of manually labeled data is often a must to train a properly functionieeexplore.ieee.org ✨ ABSTRA.. 2024. 1. 8. [Medical] Eye Motion Tracking for Medical Image Interpretation Training (Current Problems in Diagnostic Radiology, 2023) (논문리뷰) ✨ MAIN IDEAUSAF(United States Air Force)에서는 실제로 교육을 위해 Eye Motion Tracking을 사용한다. 이를 의학 교육에 도입하고자, Novice reader(jounior residents)를 교육하기 위해 실시간 Eye Motion Tracking을 사용하고 그 효과를 검증하는 연구를 진행했다. 다시말해 이 paper는 novice reader의 Eye Motion Tracking을 expert가 실시간 피드백하는 교육 시스템을 구축하고 그 효과를 평가한 연구를 정리한 것이다. ✨ METHODS실시간 Eye Motion Tracking 전문가의 구두 지시를 통합하여 초보자를 교육한다. 실험에는 Dell Precision 7535 컴퓨터와 Gazepoint .. 2024. 1. 2. 이전 1 다음
