Abstract
In this talk I will present several random image models that are else explicit (such as Gaussian models or Boolean models for instance), or more "implicit" (such as images generated by a neural network). I will discuss how these models are used to understand the detectability of some lesions in digital mammograms. I will also discuss another interest of such models, which is that they allow to perform virtual clinical trials.
