Predicting Radiologists' Gaze With Computational Saliency Models in Mammogram Reading-Reference-Cited by-同舟云学术

Predicting Radiologists' Gaze With Computational Saliency Models in Mammogram Reading

Published:2024 Issue: Volume:26 Page:256-269
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Lou Jianxun¹^ORCID,Lin Hanhe²^ORCID,Young Philippa³,White Richard⁴^ORCID,Yang Zelei⁴,Shelmerdine Susan⁵,Marshall David¹,Spezi Emiliano⁶^ORCID,Palombo Marco¹^ORCID,Liu Hantao¹^ORCID

Affiliation:

1. School of Computer Science and Informatics, Cardiff University, Cardiff, U.K.

2. School of Science and Engineering, University of Dundee, Dundee, U.K.

3. Breast Test Wales, National Health Service, Cardiff, U.K.

4. Department of Radiology, University Hospital of Wales, Cardiff, U.K.

5. Department of Clinical Radiology, Great Ormond Street Hospital, London, U.K.

6. School of Engineering, Cardiff University, Cardiff, U.K.

Funder

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/10384483/10089554.pdf?arnumber=10089554

Reference75 articles.

1. A review of interactions between peripheral and foveal vision

2. Eye Movements of Radiologists Reflect Expertise in CT Study Interpretation: A Potential Tool to Measure Resident Development

3. Investigating the link between radiologists' gaze, diagnostic decision, and image content

4. Computational modeling of human reasoning processes for interpretable visual knowledge: a case study with radiographers

5. Eye-tracking technology in medical education: A systematic review

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