Data augmentation using generative adversarial networks for images and biomarkers in medicine and neuroscience
The fields of medicine and neuroscience often face challenges in obtaining a su cient amount of diverse data for training machine learning models. Data augmentation can alleviate this issue by artificially synthesizing new data from existing data. Generative adversarial networks (GANs) provide a pro...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
ResearchGate
2023
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/38820/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/38820/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/38820/ http://dx.doi.org/10.3389/fams.2023.1162760 |
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