MGScoliosis: Multi-grained scoliosis detection with joint ordinal regression from natural image
Scoliosis is among the most prevalent diseases affecting teenagers. However, traditional scoliosis screening methods often resort to physical examination or radiographic imaging. The two ways both rely on experts with high costs, which are not suitable for wide-range screening. Besides, estimating C...
Saved in:
Main Authors: | Xiaojia Zhu, Rui Chen, Zhiwen Shao, Ming Zhang, Yuhu Dai, Wenzhi Zhang, Chuandong Lang |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-01-01
|
Series: | Alexandria Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824012225 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Structure preserved ordinal unsupervised domain adaptation
by: Qing Tian, et al.
Published: (2024-11-01) -
CONGENITAL SCOLIOSIS: AN ARTICLE REVIEW
by: Komang Agung Irianto, et al.
Published: (2019-12-01) -
The ordinal of dynamical degrees of birational maps of the projective plane
by: Bot, Anna
Published: (2024-03-01) -
Return to sports activities following posterior scoliosis correction and instrumented fusion for adolescent idiopathic scoliosis and its correlation to Lenke classification
by: Tahir Khaleeq, et al.
Published: (2024-12-01) -
New horizons for adolescent idiopathic scoliosis treatment through PosturalSpine<sup>®</sup> D’Amanti Method
by: Francesca Campoli, et al.
Published: (2025-01-01)