This is an implementation of conditional GAN for medical volume segmentation. The core of the code is a 3D FCN for generator and then an adversarial training framework. The full code has been uploaded.
If the code is helpful to your work, please kindly cite our work as:
@article{yang2018towards, title={Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound}, author={Yang, Xin and Yu, Lequan and Li, Shengli and Wen, Huaxuan and Luo, Dandan and Bian, Cheng and Qin, Jing and Ni, Dong and Heng, Pheng-Ann}, journal={IEEE transactions on medical imaging}, year={2018}, publisher={IEEE} }