CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images-Reference-Cited by-同舟云学术

CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images

Published:2023-02 Issue:2 Volume:27 Page:980-991
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Zhang Xin¹^ORCID,Han Liangxiu¹^ORCID,Sobeih Tam¹,Han Lianghao²^ORCID,Dempsey Nina³,Lechareas Symeon⁴^ORCID,Tridente Ascanio⁵^ORCID,Chen Haoming⁶,White Stephen⁷^ORCID,Zhang Daoqiang⁸^ORCID

Affiliation:

1. Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, U.K.

2. Department of Computer Science, Brunel University, Uxbridge, U.K.

3. Department of Life Sciences, Manchester Metropolitan University, Manchester, U.K.

4. Radiology, Whiston Hospital, St Helens and Knowsley Teaching Hospitals NHS Trust, Prescot, U.K.

5. Intensive Care Unit, Whiston Hospital, St Helens and Knowsley Teaching Hospitals NHS Trust, Prescot, U.K.

6. Computer Science and Artificial Intelligence, University of Sheffield, Sheffield, U.K.

7. Cardiovascular Pathology, Manchester Metropolitan University, Manchester, U.K.

8. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

Royal Society - Academy of Medical Sciences Newton Advanced Fellowship

U.K. Engineering and Physical Science Research Council

Small Business Research Initiative

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10036335/09944138.pdf?arnumber=9944138

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4. Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data

5. Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

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