SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image Segmentation

Yuan Xue, Tao Xu, Han Zhang +2

Inspired by classic generative adversarial networks (GAN), we propose a novel end-to-end adversarial neural network, called SegAN, for the task of medical image segmentation. Since…