[Construction of an artificial intelligence-assisted system for auxiliary detection of auricular point features based on the YOLO neural network].
The key-point detection model of 21 common auricular points based on YOLOv8n exhibits the excellent predictive performance, which is capable of rapidly and automatically locating and classifying auricular points.
Authors
- Kaijian Xia (ORCID: https://orcid.org/0009-0004-4688-9009)
- Yanting Zhou
- Ganhong Wang
- Zihao Zhang (ORCID: https://orcid.org/0000-0002-9290-8125)
- Jian Chen (ORCID: https://orcid.org/0000-0002-3909-6615)
- Meijuan Xi
Institutions
- WuXi AppTec (China) (CN)
- Changshu No.1 People's Hospital (CN)
- Artificial Intelligence in Medicine (Canada) (CA)
Publication Details
- Journal
- PubMed
- Published
- 2025-04-12
- DOI
- https://doi.org/10.13703/j.0255-2930.20240611-0001
- Primary Topic
- Healthcare Systems and Public Health
- Type
- article