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Intelligent Segmentation Algorithm of Ultrasonic Image

NCT06646679 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 5000

Last updated 2024-11-05

No results posted yet for this study

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.

Conditions

  • Segmentation

Interventions

OTHER

Ultrasonic imaging

Ultrasonic imaging

Sponsors & Collaborators

  • Tongji Hospital

    lead OTHER

Principal Investigators

  • Mei Wei, M.D. · Tongji Hospital

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-10-14
Primary Completion
2026-11-02
Completion
2026-11-14

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06646679 on ClinicalTrials.gov