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eess.IV2024★ 7 cited
Additional Look into GAN-based Augmentation for Deep Learning COVID-19 Image Classification
Oleksandr Fedoruk, Konrad Klimaszewski, Aleksander Ogonowski +1
The availability of training data is one of the main limitations in deep learning applications for medical imaging. Data augmentation is a popular approach to overcome this problem…
eess.IV2023★ 17 cited
Performance of GAN-based augmentation for deep learning COVID-19 image classification
Oleksandr Fedoruk, Konrad Klimaszewski, Aleksander Ogonowski +1
The biggest challenge in the application of deep learning to the medical domain is the availability of training data. Data augmentation is a typical methodology used in machine lea…