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NCT Number: NCT06646679

Intelligent Segmentation Algorithm of Ultrasonic Image

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.

Recruiting

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Key information

Conditions

Segmentation

Sex eligibility

All sexes

Study type

Observational

Primary location

About this study

  • Algorithm development: Develop high-performance intelligent ultrasonic image recognition and segmentation algorithms;
  • Data set: Establish ultrasound image data set, which is convenient for researchers to develop and verify algorithms;
  • Apply for patents, publish academic papers, promote and popularize technology.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • None.

Exclusion criteria

  • None.

Treatment and study plan

Ultrasonic imaging

Other

Ultrasonic imaging

Primary outcomes

  1. Ultrasonic image

    Time frame: 2 years

    Ultrasound images obtained by ultrasound scan

Study contacts

Contact information is provided by the study sponsor or research team.

Liu Tianzhu, M.D.

CONTACT

[email protected]

13098866448

Sponsors and collaborators

Lead sponsor

Tongji Hospital

Other

Registry information

Important dates

Study start
2024
Primary completion
2026
Study completion
2026
First posted
Oct 17, 2024
Registry last updated
Nov 5, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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