Computational augmentation of microscopic images aims at reducing the need to chemically label or stain cells to extract information. The popular U-Net model often employed for these tasks uses mostly local information. A new method for augmenting microscopic images is presented that allows for global information to be used at each step of the process.
- Zhengyang Wang
- Yaochen Xie
- Shuiwang Ji