Cancer diagnosis using generative adversarial networks based on deep learning from imbalanced data.
Journal:
Computers in biology and medicine
Published Date:
Jun 12, 2021
Abstract
BACKGROUND AND OBJECTIVE: Cancer is a serious global disease due to its high mortality, and the key to effective treatment is accurate diagnosis. However, limited by sampling difficulty and actual sample size in clinical practice, data imbalance is a common problem in cancer diagnosis, while most conventional classification methods assume balanced data distribution. Therefore, addressing the imbalanced learning problem to improve the predictive performance of cancer diagnosis is significant.
