2024
A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classifications
ICASSP 2024accepted
Although current data augmentation methods are successful to alleviate the data insufficiency, conventional augmentation are primarily intra-domain while advanced generative adversarial networks (GANs) generate images remaining uncertain, particularly in small-scale datasets. In this paper, we propo…