Automated segmentation of vertebral cortex with 3D U-Net-based deep convolutional neural network

Automated segmentation of vertebral cortex with 3D U-Net-based deep convolutional neural network

Objectives: We developed a 3D U-Net-based deep convolutional neural network for the automatic segmentation of the vertebral cortex. The purpose of this study was to evaluate the accuracy of the 3D U-Net deep learning model.Methods: In this study, a fully automated vertebral cortical segmentation met...

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Bibliographic Details
Main Authors: Yang Li, Qianqian Yao, Haitao Yu, Xiaofeng Xie, Zeren Shi, Shanshan Li, Hui Qiu, Changqin Li, Jian Qin
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
cortical separation
3D U-Net
deep learning
segmentation
artificial intelligence
AI
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2022.996723/full

Internet

https://www.frontiersin.org/articles/10.3389/fbioe.2022.996723/full

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