<ul><li>Recent years have witnessed a growing interest in using deep learning for medical imaging.</li><li>DL models require large labeled datasets, which is often a limitation in medical imaging.</li><li>The study explores the use of synthetic images generated by a conditional variant of StyleGAN2 to augment small medical imaging datasets.</li><li>The results indicate that the augmentation did not improve the segmentation performance, requiring further analysis.</li></ul>

Using Synthetic Images to Augment Small Medical Image Datasets

Discover more