The use of deep learning in medical image segmentation is limited by the low availability of annotated images. Here, the authors develop GenSeg, a generative deep learning framework that can generate high-quality paired segmentation masks and medical images that can improve the performance of segmentation models under ultra low-data regimes across multiple scenarios.
- Li Zhang
- Basu Jindal
- Pengtao Xie
