Learning-Based Coronal Spine Alignment Prediction Using Smartphone-Acquired Scoliosis Radiograph Images

Learning-Based Coronal Spine Alignment Prediction Using Smartphone-Acquired Scoliosis Radiograph Images

DICOM X-rays are not easily accessible for telemedicine, and existing learning-based automated Cobb angle (CA) predictions are not accurate on suboptimal X-ray images. To develop an automated CA prediction system irrespective of image quality, with no restrictions on curve patterns, 367 consecutive...

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Bibliographic Details
Main Authors: Teng Zhang, Yifei Li, Jason Pui Yin Cheung, Socrates Dokos, Kwan-Yee K. Wong
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Automatic analysis
computer vision
HRNet
telemedicine
landmark detection
out of hospital consultation
Online Access:https://ieeexplore.ieee.org/document/9360628/

Internet

https://ieeexplore.ieee.org/document/9360628/

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