Modèles d'images aléatoires et applications en mammographie digitale

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.