  Automatic segmentation of medical images is among most demanded works in the
medical information field since it saves time of the experts in the field and
avoids human error factors. In this work, a method based on Conditional
Adversarial Networks and Fully Convolutional Networks is proposed for the
automatic segmentation of the liver MRIs. The proposed method, without any
post-processing, is achieved the second place in the SIU Liver Segmentation
Challenge 2018, data of which is provided by Dokuz Eyl\"ul University. In this
paper, some improvements for the post-processing step are also proposed and it
is shown that with these additions, the method outperforms other baseline
methods.
