Figure 19
A diagram showing the P i x two P i x network generating likelihood maps from Input Pathology (N) via a Generator (G) and being evaluated by a Discriminator (D) against Real Pathology and Real likelihood.

An example framework using GAN to generate a nuclei centroid likelihood map from [37].

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