Deep Blind Chest X-Ray Image Quality Assessment With Region-of-Interest-Guided Attention-Reference-Cited by-同舟云学术

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Deep Blind Chest X-Ray Image Quality Assessment With Region-of-Interest-Guided Attention

Published:2023-10 Issue:4 Volume:30 Page:36-46
ISSN:1070-986X
Container-title:IEEE MultiMedia
language:
Short-container-title:IEEE MultiMedia

Author:

Jin Jianqiu¹^ORCID,Chen Xiaoming²^ORCID,Meng Yu³^ORCID,Gong Xiangyang³^ORCID,Yang Bailin¹^ORCID,Chung Yuk Ying⁴^ORCID

Affiliation:

1. School of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou, China

2. Beijing Technology and Business University, Beijing, China

3. Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Zhejiang, China

4. School of Information Technologies, University of Sydney, Sydney, Australia

Funder

Beijing Natural Science Foundation

National Natural Science Foundation of China

Key Research and Development Project of Zhejiang Province

Open Research Fund of Beijing Key Laboratory of Big Data Technology for Food Safety

Research Foundation for Advanced Talents of Beijing Technology and Business University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Hardware and Architecture,Media Technology,Signal Processing,Software

Link

http://xplorestaging.ieee.org/ielx7/93/10380235/10201806.pdf?arnumber=10201806

Reference20 articles.

1. Nonparametric Quality Assessment of Natural Images

2. Predicting the Quality of Images Compressed After Distortion in Two Steps

3. Anniversary Paper: Evaluation of medical imaging systems

4. Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

5. ImageNet classification with deep convolutional neural networks

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