Automatic segmentation of levator ani muscle in MRI images based on DenseUnet model

Automatic segmentation of levator ani muscle in MRI images based on DenseUnet model

Objective To construct a deep learning automatic segmentation model based on the magnetic resonance image (MRI) of the pelvic floor, and make the intelligent segmentation of the pelvic floor MR image so as to reduce the work intensity of doctors and improve the segmentation efficiency and accuracy o...

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Bibliographic Details
Main Authors: XIANG Yongjia, WU Yi, ZHANG Xiaoqin, HU Xin, LIU Jingjing, LEI Ling, WANG Yanzhou, WANG Yan
Format: Article
Language:zho
Published: Editorial Office of Journal of Third Military Medical University 2021-09-01
Series:Di-san junyi daxue xuebao
Subjects:
convolutional neural network
image segmentation
intelligent assisted diagnosis
Online Access:http://aammt.tmmu.edu.cn/Upload/rhtml/202102089.htm

Internet

http://aammt.tmmu.edu.cn/Upload/rhtml/202102089.htm

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