 Autoencoders are increasingly proving their ability even in more delicate contexts such as medical imaging.In this context, they have also been used for image denoising as well as super-resolution.In the field of image-assisted diagnosis, there exist some experiments using autoencoders for the detection of breast cancer or even modelling the relation between the cognitive decline of Alzheimer's Disease and the latent features of an autoencoder trained with MRI

Lastly, other successful experiments have been carried out exploiting variations of the basic autoencoder for image super-resolution tasks.