Predicting Radiologist Attention During Mammogram Reading with Deep and Shallow High-Resolution Encoding-Reference-Cited by-同舟云学术

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Predicting Radiologist Attention During Mammogram Reading with Deep and Shallow High-Resolution Encoding

Published:2022-10-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Image Processing (ICIP)
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Author:

Lou Jianxun¹,Lin Hanhe²,Marshall David¹,White Richard³,Yang Young³,Shelmerdine Susan⁴,Liu Hantao¹

Affiliation:

1. Cardiff University,School of Computer Science and Informatics,Cardiff,United Kingdom

2. University of Dundee,School of Science and Engineering,Dundee,United Kingdom

3. University Hospital of Wales,Department of Radiology,Cardiff,United Kingdom

4. Great Ormond Street Hospital,Department of Clinical Radiology,London,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9897158/9897159/09897723.pdf?arnumber=9897723

Reference24 articles.

1. How is Gaze Influenced by Image Transformations? Dataset and Model

2. Learning Discriminative Subspaces on Random Contrasts for Image Saliency Analysis

3. Contextual encoder–decoder network for visual saliency prediction

4. Graph-Based Visual Saliency;harel;Proc of the 19th Int Conf on Neural Inf Process Syst,2006

5. EML-NET: An Expandable Multi-Layer NETwork for saliency prediction;jia;Image Vis Comput,2020

Cited by 1 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. 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

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