DeepLearning SeGAN Segmentation
This contains an implementation of the SeGAN model for semantic segmentation introduced in https://arxiv.org/pdf/1703.10239.pdf
The model serves for semantic segmenation 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
Dependencies
- Python 3.6
- Numpy
- Keras 2.0
- Tensorflow >= 1.x
- TQDM (optional)
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