An interpretable MRI-based radiomics model predicting the prognosis of high-intensity focused ultrasound ablation of uterine fibroids

Abstract Background Accurate preoperative assessment of the efficacy of high-intensity focused ultrasound (HIFU) ablation for uterine fibroids is essential for good treatment results. The aim of this study was to develop robust radiomics models for predicting the prognosis of HIFU-treated uterine fi...

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主要な著者:	Chengwei Li, Zhimin He, Fajin Lv, Yang Liu, Yan Hu, Jian Zhang, Hui Liu, Si Ma, Zhibo Xiao
フォーマット:	Artigo
言語:	Inglês
出版事項:	SpringerOpen 2023-07-01
シリーズ:	Insights into Imaging
主題:	Machine learning Radiomics HIFU Uterine fibroid Magnetic resonance imaging
オンライン･アクセス:	https://doi.org/10.1186/s13244-023-01445-2
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