Scoliosis identification system and method based on active millimeter-wave imaging technology
By using active millimeter-wave imaging technology and deep learning algorithms to identify scoliosis, this method solves the problems of low accuracy and efficiency of existing detection methods in high-throughput screening, and provides a radiation-free, convenient and accurate method for detecting scoliosis, reducing the risk of missed diagnoses and misdiagnoses.
Patent Information
- Application Number
- PCT/CN2024/126638
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-05-23
- Filing Date
- 2024-10-23
- Publication Date
- 2025-11-27
AI Technical Summary
Existing scoliosis detection methods have low accuracy and efficiency in high-throughput and rapid periodic screening, and are also subject to problems such as ionizing radiation damage and human error.
Using active millimeter-wave imaging technology, combined with pressure sensing devices and deep learning algorithms, the system acquires three-dimensional morphological data of the human back by transmitting and receiving millimeter-wave signals, identifies key points on the back and the contour of the spine, calculates the Cobb angle, and generates a diagnostic report.
It achieves radiation-free, highly accurate, and convenient scoliosis detection, reduces the risk of missed diagnoses and misdiagnoses, protects user privacy, and meets the needs of high-throughput and rapid periodic screening.
Smart Images

Figure CN2024126638_27112025_PF_FP_ABST
Abstract
Citation Information
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