Establishment of Non-Invasive Prediction Models for the Diagnosis of Uterine Leiomyoma Subtypes by Machine Learning Using MRI Data
Tetsuro Tamehisa(Yamaguchi University), Norihiro Sugino(Yamaguchi University), Masahiro Tanabe(Yamaguchi University), Takahiro Sakai(Japanese Red Cross Society, Japan), Shun Sato(Yamaguchi University), Katsuyoshi Ito(Twitter (United States)), Ryo Maekawa(Yamaguchi University)
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