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Autor:
Rao, Adrit, Fisher, Andrea, Chang, Ken, Panagides, John Christopher, McNamara, Katherine, Lee, Joon-Young, Aalami, Oliver
Data augmentations are widely used in training medical image deep learning models to increase the diversity and size of sparse datasets. However, commonly used augmentation techniques can result in loss of clinically relevant information from medical
Externí odkaz:
http://arxiv.org/abs/2404.10965