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.

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.

Inclusion Criteria:

• None.

Exclusion Criteria:

• None.

Any patient undergoing an ultrasound scan, including volunteers.

Contact the researcher if necessary after the study is completed.