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We propose a semantic segmentation method of cell membrane and nucleus by improving pix2pix. We use pix2pix which is an improved method of DCGAN. Pix2pix generates good segmentation result by the competition of generator and discriminator but pix2pix uses generator and discriminator independently. If generator knows the criterion for classifying real and fake images, we can improve the accuracy of generator furthermore. Thus, we propose to use the feature maps of the discriminator into generator. In experiments on segmentation of cell membrane and nucleus, our proposed method outperformed the conventional pix2pix.

Segmentation of Cell Membrane and Nucleus by Improving Pix2pix