Abstract: We propose a semantic segmentation method of cell membrane and nucleus by improving pix2pix. We use pix2pix which is an improved method of DCGAN.

A semantic segmentation method of cell membrane and nucleus by improving pix2pix and proposing to use the feature maps of the discriminator into generator.

Abstract: We propose a semantic segmentation method of cell membrane and nucleus by improving pix2pix. We use pix2pix which is an improved method of DCGAN.

This paper presents a cell image segmentation method using Generative Adversarial Network (GAN) with multiple different roles.

When we focus on the enlarged images, the segmentation of cell membrane by our method is better than conventional pix2pix. Cell nucleus is also detected more ...

Bibliographic details on Segmentation of Cell Membrane and Nucleus by Improving Pix2pix.

This paper presents a cell image segmentation method using Generative Adversarial Network (GAN) with multiple different roles. Pix2pix is a kind of GAN can ...

Therefore, we applied three deep learning-based methods, U-net, branched U-net, and pix2pix, for the semantic segmentation of NuCyM images, and found that the ...

Oct 15, 2023 · Sato Masaya et al. [11] have proposed a semantic segmentation method of cell membrane and nucleus by improving pix2pix. In addition, this work ...

Apr 25, 2024 · Segmentation of Cell Membrane and Nucleus by Improving Pix2pix. BIOSIGNALS 2018: 216-220. [c4]. view. electronic edition via DOI · unpaywalled ...