Web: http://arxiv.org/abs/2205.02843

May 9, 2022, 1:11 a.m. | Ethan Schonfeld, Anand Veeravagu

cs.LG updates on arXiv.org arxiv.org

Problem: There is a lack of big data for the training of deep learning models
in medicine, characterized by the time cost of data collection and privacy
concerns. Generative adversarial networks (GANs) offer both the potential to
generate new data, as well as to use this newly generated data, without
inclusion of patients' real data, for downstream applications.

Approach: A series of GANs were trained and applied for a downstream computer
vision spine radiograph abnormality classification task. Separate classifiers
were …

arxiv generative adversarial network learning loss network

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