Bean-Young/AHU-Database
An Annotated Heterogeneous Ultrasound Database
This project provides a large, annotated database of ultrasound images, gathered from various sources, to help improve AI-assisted diagnosis. It takes raw ultrasound images and videos, processes them into a standardized format, and identifies noisy data, ultimately providing a dataset suitable for training diagnostic AI models. Medical researchers and AI developers focused on diagnostic imaging would use this.
Use this if you are developing or evaluating AI models for ultrasound diagnosis and need a diverse, pre-processed dataset to improve model generalizability across different clinical settings.
Not ideal if you are looking for a real-time diagnostic tool for immediate clinical use or do not have experience with machine learning model development.
Stars
8
Forks
—
Language
Python
License
MIT
Category
Last pushed
Dec 17, 2025
Commits (30d)
0
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