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- …
- Products
- Research Ultrasound
- Portable Ultrasound
- Expert Ultrasound
- Wireless Handheld Ultrasound
- Wearable Devices
- Ultrasound Accessories
- EI Academy
- About Echo-Int
- Introduction
- EI News
- Support & Service
- Technical Documentation
- Products
- Research Ultrasound
- Portable Ultrasound
- Expert Ultrasound
- Wireless Handheld Ultrasound
- Wearable Devices
- Ultrasound Accessories
- EI Academy
- About Echo-Int
- Introduction
- EI News
- Support & Service
- Technical Documentation
- …
- Products
- Research Ultrasound
- Portable Ultrasound
- Expert Ultrasound
- Wireless Handheld Ultrasound
- Wearable Devices
- Ultrasound Accessories
- EI Academy
- About Echo-Int
- Introduction
- EI News
- Support & Service
- Technical Documentation
Automated Training Process for SUDA
Three Steps to Make AI Training for Clinical Physicians Easy
1Data Collection and Annotation
2Cloud-based Model Training
3Edge Inference
Step I. Data Collection and Annotation
Clinical personnel use the EchoVIU® SUDA framework for data collection, scanning the desired imaging sites and saving the images.
Step II. Cloud-based Model Training
Physicians can directly use the software to annotate the imaging sites and upload the annotated results to the cloud for model training.
Step III. Edge Inference
Once the SUDA model training is completed, the model weights will be downloaded to the EchoVIU® software client, enabling immediate real-time AI inference capabilities.
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