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Intelligent Segmentation Algorithm of Ultrasonic Image

Intelligent Segmentation Algorithm of Ultrasonic Image

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06646679
Enrollment
5000
Registered
2024-10-17
Start date
2024-10-14
Completion date
2026-11-14
Last updated
2024-11-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Segmentation

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.

Interventions

Ultrasonic imaging

Sponsors

Tongji Hospital
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Healthy volunteers
Yes

Inclusion criteria

* None.

Exclusion criteria

* None.

Design outcomes

Primary

MeasureTime frameDescription
Ultrasonic image2 yearsUltrasound images obtained by ultrasound scan

Countries

China

Contacts

Primary ContactLiu Tianzhu, M.D.
liutzh@126.com13098866448

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026