VLTENet: A Deep-Learning-Based Vertebra Localization and Tilt Estimation Network for Automatic Cobb Angle Estimation
Author:
Affiliation:
1. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang, China
2. Department of Radiology, The Affiliated Hospital of Medicine School of Ningbo University, Ningbo, Zhejiang, China
Funder
Zhejiang Provincial Public Welfare Technology Research Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
http://xplorestaging.ieee.org/ielx7/6221020/10144459/10073524.pdf?arnumber=10073524
Reference48 articles.
1. Cobb Angle Measurement of Spine from X-Ray Images Using Convolutional Neural Network
2. Curve progression in idiopathic scoliosis.
3. Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle Regression
4. Automated Cobb Angle Measurement for Adolescent Idiopathic Scoliosis Using Convolutional Neural Network
5. Accurate Automated Keypoint Detections for Spinal Curvature Estimation
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