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Objective: To develop machine-learning models that incorporate clinical information and radiomics features extracted from ultrasound images to distinguish uterine sarcomas from leiomyomas. Methods: This retrospective, multicenter, pilot case–control study included 200 patients (100 with a uterine sarcoma and 100 with a usual-type leiomyoma, i.e. including no benign leiomyoma variants) who underwen
