Synthetic OCT Data Generation to Enhance the Performance of Diagnostic Models for Neurodegenerative Diseases-Reference-Cited by-同舟云学术

Synthetic OCT Data Generation to Enhance the Performance of Diagnostic Models for Neurodegenerative Diseases

Published:2022-10-06 Issue:10 Volume:11 Page:10
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Danesh Hajar¹,Steel David H.²³,Hogg Jeffry⁴⁵,Ashtari Fereshteh⁶,Innes Will⁴⁷,Bacardit Jaume⁷,Hurlbert Anya³,Read Jenny C. A.³,Kafieh Rahele¹³⁸

Affiliation:

1. School of Advanced Technologies in Medicine, Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Isfahan, Iran

2. Sunderland Eye Infirmary, Sunderland, Tyne and Wear, UK

3. Centre for Transformative Neuroscience and Institute of Biosciences, Newcastle University, Newcastle upon Tyne, Tyne and Wear, UK

4. Royal Victoria Infirmary Eye Department, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, Newcastle Upon Tyne, UK

5. Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, Tyne and Wear, UK

6. Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

7. School of Computing, Newcastle University, Newcastle upon Tyne, Tyne and Wear, UK

8. Department of Engineering, Durham University, South Road, Durham, UK

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

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