Full-Resolution Lung Nodule Localization From Chest X-Ray Images Using Residual Encoder-Decoder Networks

Author:

Horry Michael J.1ORCID,Chakraborty Subrata1ORCID,Pradhan Biswajeet1ORCID,Paul Manoranjan2ORCID,Zhu Jing3,Barua Prabal Datta4ORCID,Mir Hasan Saeed5ORCID,Chen Fang6ORCID,Zhou Jianlong6ORCID,Acharya U. Rajendra7ORCID

Affiliation:

1. Centre for Advanced Modeling and Geospatial Information Systems (CAMGIS), School of Civil and Environmental Engineering, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, Australia

2. Machine Vision and Digital Health (MaViDH), School of Computing, Mathematics, and Engineering, Charles Sturt University, Bathurst, NSW, Australia

3. Department of Radiology, Westmead Hospital, Westmead, NSW, Australia

4. School of Science and Technology, Faculty of Science, Agriculture, Business and Law, University of New England, Armidale, NSW, Australia

5. Department of Electrical Engineering, American University of Sharjah, Sharjah, United Arab Emirates

6. Data Science Institute, University of Technology Sydney, Ultimo, NSW, Australia

7. School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, QLD, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

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