URFM: A general Ultrasound Representation Foundation Model for advancing ultrasound image diagnosis
Summary: Ultrasound imaging is critical for clinical diagnostics, providing insights into various diseases and organs. However, artificial intelligence (AI) in this field faces challenges, such as the need for large labeled datasets and limited task-specific model applicability, particularly due to...
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| Main Authors: | Qingbo Kang, Qicheng Lao, Jun Gao, Wuyongga Bao, Zhu He, Chenlin Du, Qiang Lu, Kang Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004225011782 |
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