Automatic segmentation of female urine control anatomical elements and related structures in MRI images based on deep learning

Objective‍　‍To construct an automatic segmentation model to segment female urine control anatomy on MRI images based on deep learning methods in order to improve the segmentation efficiency and accuracy. Methods‍　‍A dataset comprising 49 female pelvic floor muscle MRI images [30 women with varying d...

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Bibliographic Details

Published in:	陆军军医大学学报
Main Authors:	ZHANG Ziqin, WU Yi, ZHANG Xiaoqin
Format:	Article
Language:	Chinese
Published:	Editorial Office of Journal of Army Medical University 2025-07-01
Subjects:	‍deep learning image segmentation intelligent assisted diagnosis nuclear magnetic resonance image
Online Access:	https://aammt.tmmu.edu.cn/html/202406055.html