Intelligent Segmentation Algorithm of Ultrasonic Image

Recruiting now

Conditions studied: Segmentation

In brief

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.

Key facts

Study ID

NCT06646679

Run by

Tongji Hospital

People needed

5000

Starts

2024-10-14

Expected to finish

2026-11-14

Last updated by the study team

2024-11-05

Who can join

Age: any. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• None.

You may not qualify if…

• None.

Where it is running

• Tianzhu Liu — Wuhan, Hubei, China (enrolling)

Full record on ClinicalTrials.gov

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