Automatic segmentation of puborectalis muscle on three-dimensional transperineal ultrasound.

Frieda van den Noort A T M GrobC H SlumpC H van der VaartM van Stralen

Published in: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology (2018)

This study presents a reliable manual segmentation protocol and automatic 3D segmentation method for the PRM, which will facilitate future investigation of the PRM, allowing for the reliable measurement of potentially clinically valuable parameters such as mean echogenicity. © 2017 The Authors. Ultrasound in Obstetrics & Gynecology Published by John Wiley & Sons Ltd on behalf of the International Society of Ultrasound in Obstetrics and Gynecology.

Keyphrases

deep learning
convolutional neural network
magnetic resonance imaging
machine learning
contrast enhanced ultrasound
ultrasound guided
randomized controlled trial
skeletal muscle
neural network
meta analyses