Actively Recruiting
Intelligent Segmentation Algorithm of Ultrasonic Image
Led by Tongji Hospital · Updated on 2024-11-05
5000
Participants Needed
1
Research Sites
108 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
This project aims to enhance the performance of ultrasonic image analysis by optimizing and refining neural network algorithms, while also collecting and constructing extensive datasets relevant to ultrasonic imagery. The algorithm will be trained and evaluated in a data-driven manner, with test results facilitating accurate segmentation of regional block images and identification of characteristic ultrasonic anatomy. This approach will significantly advance the study and development of ultrasonic technology.
CONDITIONS
Official Title
Intelligent Segmentation Algorithm of Ultrasonic Image
Who Can Participate
Eligibility Criteria
You may qualify if you...
- None.
You will not qualify if you...
- None.
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Tianzhu Liu
Wuhan, Hubei, China, 430000
Actively Recruiting
Research Team
L
Liu Tianzhu, M.D.
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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