An Automated and Accurate Spine Curve Analysis System
Established
55
Citations18
Refs2019
Year
Search Works
Work Details
- DOI 10.1109/access.2019.2938402
- OpenAlex ID W2970802276
- Type Article
- Language EN
- Published 01 Jan 2019
- Volume 7
- Pages 124596–124605
- Source IEEE Access
- Publisher Institute of Electrical and Electro…
- FWCI 2.65
- Countries 2
- Institutions 2
- Added 05 Sep 2019
- Updated 16 Oct 2026
External Links
MENU
0
An Automated and Accurate Spine Curve Analysis System
Article 2019 EN Gold
We present a new Adaptive Error Correction Net (AEC-Net) to formulate the estimation of Cobb anges from spinal X-rays as a high-precision regression task. Our AEC-Net introduces two novel innovations. (1) The AEC-Net contains two networks calculating landmarks and Cobb angles separately, which robustly solve the disadvantage of ambiguity in X-rays since these networks focus on more features. It ef…
55
Citations
18
References
6
Authors
2.65
FWCI
Citations by Year
Last 7 yearsTopics
Keywords
Authors & Affiliations
6 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Bo Chen | Western University (CA) | |
| 2 | Qiuhao Xu | Xiamen University (CN) | |
| 3 | Liansheng Wang | Xiamen University (CN) | |
| 4 | Stephanie Leung | Western University (CA) | — |
| 5 | Jonathan Chung | Western University (CA) | — |
| 6 | Shuo Li | Western University (CA) |
Related Works
10Data: OpenAlex