Image prediction of disease progression by style-based manifold extrapolation. (arXiv:2111.11439v2 [eess.IV] UPDATED)

Disease-modifying management aims to prevent deterioration and progression of
the disease, not just relieve symptoms. Unfortunately, the development of
necessary therapies is often hampered by the failure to recognize the
presymptomatic disease and limited understanding of disease development. We
present a generic solution for this problem by a methodology that allows the
prediction of progression risk and morphology in individuals using a latent
extrapolation optimization approach. To this end, we combined a regularized
generative adversarial network (GAN) and a latent …

arxiv disease image manifold prediction