Few-Shot Anomaly Detection for Medical Ultrasound Images Using Metric Learning and Multimodal BiomedCLIP Embeddings

Research output: Contribution to journal › Journal article › peer-review

Original language	Korean
Journal	Journal of Korean Institute of Communications and Information Sciences
State	Published - 2025.10.1

Cite this

@article{83fc5e84824845aba0f4b0804cdc9628,

title = "Few-Shot Anomaly Detection for Medical Ultrasound Images Using Metric Learning and Multimodal BiomedCLIP Embeddings",

author = "Kyungsu Lee",

year = "2025",

month = oct,

day = "1",

language = "Korean",

journal = "Journal of Korean Institute of Communications and Information Sciences",

issn = "1226-4717",

}

TY - JOUR

T1 - Few-Shot Anomaly Detection for Medical Ultrasound Images Using Metric Learning and Multimodal BiomedCLIP Embeddings

AU - Lee, Kyungsu

PY - 2025/10/1

Y1 - 2025/10/1

M3 - Journal article

SN - 1226-4717

JO - Journal of Korean Institute of Communications and Information Sciences

JF - Journal of Korean Institute of Communications and Information Sciences

ER -