Fully automated pelvic bone segmentation in multiparameteric MRI using a 3D convolutional neural network.

Xiang LiuChao HanHe WangJingyun WuYingpu CuiXiaodong ZhangXiaoying Wang

Published in: Insights into imaging (2021)

A deep learning-based method can achieve automated pelvic bone segmentation on DWI and ADC images with suitable quantitative and qualitative performance.

Keyphrases

deep learning
convolutional neural network
diffusion weighted imaging
artificial intelligence
bone mineral density
diffusion weighted
contrast enhanced
rectal cancer
machine learning
magnetic resonance imaging
soft tissue
bone loss
bone regeneration
systematic review
high resolution
postmenopausal women