I'd like to use GANs for a 1-D image-to-image transformation

4 次查看(过去 30 天)
I'm working on a medical application where I have 1-D images (think ECG, PPG, etc). I'd like to use a GAN to mimic another 1-D image in a one-to-one way. One way to do transfer learning from a 2-D Cycle GAN example shown in Matlab is to replicate my 1-D image (125 X 1) into a 125 X 125 to form an image but that seems like a huge computing burden. Any ideas?
Thanks
  2 个评论
William Rose
William Rose 2024-11-8
125x125 is not a hge computing burden.
Goodfellow et al. (2014) use images for their examples, in the original GAN paper.
Zhu et al. (2017) use images, not 1-D signals.
Zhao et al. (2017) use images, not 1-D signals, in their paper.
I think you will need to do some original thinking. I would start with thinking about a 1-D convolution on a signal, instead of a 2-D convolution on an image, for the generator.
Good luck with your research.
Ram Krishnan
Ram Krishnan 2024-11-8
Thanks for your advice, William. As you say, a 1-D convolution may be necessary instead trying a transfer learning from 2-D image networks.

请先登录,再进行评论。

回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Image Data Workflows 的更多信息

产品


版本

R2024b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by