Intelligent Segmentation Algorithm of Ultrasonic Image
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Ultrasonic imaging.
- Who it may be relevant to
- Registry conditions: Segmentation. Basic parameters: No limits · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Overview
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
- Other Ultrasonic imaging
Ultrasonic imaging
Primary outcome measures
- Ultrasonic image [Time frame: 2 years]
Eligibility criteria
Inclusion criteria
- None.
Exclusion criteria
- None.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Observational model
- Other
Study locations
China · 1 center
- Tianzhu Liu — Wuhan
Identifiers
NCT: NCT06646679 · Tongji Hospital102114-4