Published August 8, 2023
| Version v1
Journal article
Open
Biased Deep Learning Methods in Detection of COVID-19 Using CT Images: A Challenge Mounted by Subject-Wise-Split ISFCT Dataset
Authors/Creators
- 1. Law, Economics, and Data Science Group, Department of Humanities, Social and Political Science, ETH Zurich, 8092 Zurich, Switzerland
- 2. Institute for Intelligent Systems Research and Innovation, Deakin University, Melbourne, VIC 3125, Australia
- 3. Department of Radiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan JM76+5M3, Iran
- 4. St. George's Hospital, London SW17 0RE, UK
- 5. School of Engineering, University of British Columbia, Kelowna, BC V1V 1V7, Canada
- 6. Cyclica Inc., Toronto, ON M5J 1A7, Canada
- 7. Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan JM76+5M3, Iran
- 8. Department of Engineering, Durham University, Durham DH1 3LE, UK
Description
Our investigation indicate that complex models do not necessarily generate more accurate and repeatable results in strict splitting schema.
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