| In recent years, the incidence of endometrial cancer (endometrial cancer,EC) has gradually increased,and the trend is younger. At present, the diagnosis and treatment of EC emphasizes early diagnosis and accurate personalized treatment, if the above requirements can be met, patients can even preserve fertility function, but also reduce the incidence of complications caused by overtreatment. With the rapid development of artificial intelligence, deep learning (deep learning,DL) has also made some progress in the diagnosis and treatment of gynecological tumors, showing great potential in the diagnosis, treatment and prognosis prediction of EC,and is expected to become a non-invasive and efficient important tool to help clinicians make decisions. With the gradual improvement of artificial intelligence models, DL may be widely used in clinic in the future. |
