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Publikováno v:
Sensors, Vol 24, Iss 23, p 7511 (2024)
Data augmentation is a crucial regularization technique for deep neural networks, particularly in medical imaging tasks with limited data. Deep learning models are highly effective at linearizing features, enabling the alteration of feature semantics
Externí odkaz:
https://doaj.org/article/28a66dc652b54714aeb9790d1b8ef626