Web: http://arxiv.org/abs/2201.10324

Jan. 26, 2022, 2:11 a.m. | Muhammad Muneeb Saad, Mubashir Husain Rehmani, Ruairi O'Reilly

cs.LG updates on arXiv.org arxiv.org

Biomedical image datasets can be imbalanced due to the rarity of targeted
diseases. Generative Adversarial Networks play a key role in addressing this
imbalance by enabling the generation of synthetic images to augment and balance
datasets. It is important to generate synthetic images that incorporate a
diverse range of features such that they accurately represent the distribution
of features present in the training imagery. Furthermore, the absence of
diverse features in synthetic images can degrade the performance of machine
learning …

arxiv gan images

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