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Automatic segmentation of the female pelvic floor muscles on MRI for pelvic floor function assessment.
Zhang, Xiaoqin; Xiang, Yongjia; Yao, Jie; Hu, Xin; Wang, Yangyun; Liu, Liping; Wang, Yan; Wu, Yi.
Affiliation
  • Zhang X; Department of Digital Medicine, College of Biomedical Engineering and Medical Imaging, Army Medical University (Third Military Medical University), Chongqing, China.
  • Xiang Y; School of Mathematical Sciences, Chongqing Normal University, Chongqing, China.
  • Yao J; Chongqing Zhence Science and Technology Co., Ltd., Chongqing, China.
  • Hu X; Department of Digital Medicine, College of Biomedical Engineering and Medical Imaging, Army Medical University (Third Military Medical University), Chongqing, China.
  • Wang Y; Department of Digital Medicine, College of Biomedical Engineering and Medical Imaging, Army Medical University (Third Military Medical University), Chongqing, China.
  • Liu L; Department of Urology, Fifth People's Hospital of Shanghai Fudan University, Shanghai, China.
  • Wang Y; Department of Gynecology and Obstetrics, First Affiliated Hospital of Army Medical University, Chongqing, China.
  • Wu Y; School of Mathematical Sciences, Chongqing Normal University, Chongqing, China.
Quant Imaging Med Surg ; 13(7): 4181-4195, 2023 Jul 01.
Article in En | MEDLINE | ID: mdl-37456286
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: Quant Imaging Med Surg Year: 2023 Document type: Article Affiliation country: China Country of publication: China
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: Quant Imaging Med Surg Year: 2023 Document type: Article Affiliation country: China Country of publication: China