Method, system and computer readable storage medium for detecting errors in three-dimensional measurements - Patents.com
Deep learning methods are employed to automatically detect and correct errors in 3D dental measurements, addressing the challenges of error detection in dental imaging and enhancing the accuracy and efficiency of dental scanning processes.
JP7650869B2Active Publication Date: 2025-03-25DENTSPLY SIRONA INC
5 Cites 0 Cited by
Patent Information
- Application Number
- JP2022518845
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2019-09-24
- Filing Date
- 2020-09-22
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2040-09-22
AI Technical Summary
Technical Problem
Dental practitioners face challenges in detecting errors in 3D measurements, such as intraoral images, which can be caused by obstructions, environmental conditions, and scanner malfunctions, leading to inaccurate or incomplete measurements.
Method used
The use of deep learning methods to automatically detect and correct errors in 3D measurements by training deep neural networks to segment images into semantic and error regions, allowing for real-time identification and correction of defects.
Benefits of technology
This approach enables accurate and efficient detection and correction of errors in 3D measurements, improving the reliability and speed of dental scanning processes by reducing interruptions and ensuring high-quality data.
✦ Generated by Eureka AI based on patent content.
Abstract
A method, system, and computer-readable storage medium for detecting defects in images during three-dimensional measurement of teeth. An operator may scan the teeth using a dental camera, and a trained deep neural network may automatically detect portions of the input image that have defects and generate output information regarding those defects for corrective action to be taken.
Need to check novelty before this filing date? Find Prior Art