相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers-From the Radiology Editorial Board
David A. Bluemke et al.
RADIOLOGY (2020)
Automatic Lung Nodule Detection Combined With Gaze Information Improves Radiologists' Screening Performance
Guilherme Aresta et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)
AUTOMATIC BOUNDING BOX ANNOTATION OF CHEST X-RAY DATA FOR LOCALIZATION OF ABNORMALITIES
Joy Wu et al.
2020 IEEE 17TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2020) (2020)
Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks
J. N. Stember et al.
JOURNAL OF DIGITAL IMAGING (2019)
Analysis of Perceptual Expertise in Radiology - Current Knowledge and a New Perspective
Stephen Waite et al.
FRONTIERS IN HUMAN NEUROSCIENCE (2019)
A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning
Naji Khosravan et al.
MEDICAL IMAGE ANALYSIS (2019)
MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports
Alistair E. W. Johnson et al.
SCIENTIFIC DATA (2019)
Age prediction using a large chest X-ray dataset
A. Karargyris et al.
MEDICAL IMAGING 2019: COMPUTER-AIDED DIAGNOSIS (2019)
Modeling visual search behavior of breast radiologists using a deep convolution neural network
Suneeta Mall et al.
JOURNAL OF MEDICAL IMAGING (2018)
How visual search relates to visual diagnostic performance: a narrative systematic review of eye-tracking research in radiology
A. van der Gijp et al.
ADVANCES IN HEALTH SCIENCES EDUCATION (2017)
Investigating the link between radiologists' gaze, diagnostic decision, and image content
Georgia Tourassi et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2013)
Current perspectives in medical image perception
Elizabeth A. Krupinski
ATTENTION PERCEPTION & PSYCHOPHYSICS (2010)
分享论文
