Magnetic resonance imaging parameter-based machine learning for prognosis prediction of high-intensity focused ultrasound ablation of uterine fibroids-Reference-Cited by-同舟云学术

Magnetic resonance imaging parameter-based machine learning for prognosis prediction of high-intensity focused ultrasound ablation of uterine fibroids

Published:2022-06-28 Issue:1 Volume:39 Page:835-846
ISSN:0265-6736
Container-title:International Journal of Hyperthermia
language:en
Short-container-title:International Journal of Hyperthermia

Author:

Zhang Jinwei¹^ORCID,Yang Chao¹,Gong Chunmei¹,Zhou Ye¹,Li Chenghai¹,Li Faqi¹

Affiliation:

1. State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Key Laboratory of Biomedical Engineering, Chongqing Medical University, Chongqing, China

Funder

the Major Project of Chongqing Education Commission

Publisher

Informa UK Limited

Subject

Cancer Research,Physiology (medical),Physiology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02656736.2022.2090622

Reference38 articles.

1. Uterine fibroids

2. Etiology and pathogenesis of uterine leiomyomas: a review.

3. Factors influencing MR changes associated with sacral injury after high-intensity focused ultrasound ablation of uterine fibroids

4. Clinical and Technical Aspects of MR-Guided High Intensity Focused Ultrasound for Treatment of Symptomatic Uterine Fibroids

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