Integrating Eye-Gaze Data into CXR DL Approaches: A Preliminary study-Reference-Cited by-同舟云学术

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

Published:2023-03 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
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Author:

Luís André¹,Hsieh Chihcheng²,Nobre Isabel Blanco³,Sousa Sandra Costa³,Maciel Anderson¹,Jorge Joaquim¹,Moreira Catarina⁴

Affiliation:

1. INESC-ID / Instituto Superior Técnico, Universidade de Lisboa,Portugal

2. School of Information Systems, Queensland University of Technology,Australia

3. Grupo Lusíadas,Imagiology Department,Lisboa,Portugal

4. INESC-ID / School of Information Systems, Queensland University of Technology

Funder

Portuguese Fundação para a Ciência e a Tecnologia (FCT)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10108528/10108504/10108506.pdf?arnumber=10108506

Reference28 articles.

1. Visual scanning patterns of radiologists searching mammograms

2. Identifying Expert and Novice Visual Scanpath Patterns and Their Relationship to Assessing Learning-Relevant Student Characteristics

3. State of the Art: Eye-Tracking Studies in Medical Imaging

4. Microsoft COCO: common objects in context;lin;CoRR abs/1405 0312,2014

5. Creation and validation of a chest X-ray dataset with eye-tracking and report dictation for AI development

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Use of Machine Learning in Eye Tracking Studies in Medical Imaging: A Review;IEEE Journal of Biomedical and Health Informatics;2024-06

2. EyeXNet: Enhancing Abnormality Detection and Diagnosis via Eye-Tracking and X-ray Fusion;Machine Learning and Knowledge Extraction;2024-05-09

3. Shedding light on ai in radiology: A systematic review and taxonomy of eye gaze-driven interpretability in deep learning;European Journal of Radiology;2024-03

4. MDF-Net for abnormality detection by fusing X-rays with clinical data;Scientific Reports;2023-09-23

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