A GAN is this sort of dual neural network framework. The generator neural network tries to generate images that look like they came from a data set. And then you have a discriminator neural network that tries to determine which images are real and which images are generated. It's almost like if I went to, you know, Playground AI and said, make this an H&E image, except with a lot more rigor and actual useful as behind it.

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