This contains an implementation of the SeGAN model for semantic segmentation introduced in https://arxiv.org/pdf/1706.01805.pdf
The model serves for semantic segmentation of image data and the authors have demonstrated its utility on cranial MRT images.
A summary of the model architecture from the paper is shown below
This work was inspired by Xue et al. as well as the excellent "Deep Learning for coders" tought by Jeremy Howard and Rachel Thomas in their MOOC
