Intelligent Segmentation Algorithm of Ultrasonic Image

Recruiting

• Conditions: Segmentation

• Registration Number: NCT06646679
• Lead Sponsor: Tongji Hospital

Brief Summary

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.

Detailed Description

1. Algorithm development: Develop high-performance intelligent ultrasonic image recognition and segmentation algorithms;

2. Data set: Establish ultrasound image data set, which is convenient for researchers to develop and verify algorithms;

3. Apply for patents, publish academic papers, promote and popularize technology.

Study Timeline

• Study Start: 2024-10-14
• Study First Submitted: 2024-10-15
• Study First Submitted QC: 2024-10-15
• Study First Posted: 2024-10-17
• Status Verified: 2024-11
• Last Update Submitted: 2024-11-02
• Last Update Posted: 2024-11-05
• Primary Completion: 2026-11-02
• Study Completion: 2026-11-14

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 5000

Inclusion Criteria

• None.

Exclusion Criteria

• None.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Ultrasonic image	2 years	Ultrasound images obtained by ultrasound scan

Trial Locations

Locations (1)

Tianzhu Liu; 🇨🇳 Wuhan, Hubei, China