Endometriosis is a pathology affecting 6-10% of the female population, characterized by the implantation of uterine endometrial nodules either in the body of the uterus (known as adenomyosis) or ectopically, on various organs in contact with the peritoneal cavity such as the bladder, intestines, Fallopian tubes etc. This pathology results in severe pain during menstruation and can lead to infertility. Endometriosis and adenomyosis are associated with hypercontractility of the myometrium, the uterine smooth muscle. The cause of hypercontractility in endometriosis is currently not known, and could be a major player in disease pathogenesis, treatment and prevention. The goal of our project is to understand whether hypercontractility can result from a structural alteration of the architecture of the uterine wall, for example of the smooth muscle, of its innervation, or its hormone receptor distribution. This internship focuses on the quantitative analysis of histological images of the uterine muscle by machine learning techniques.