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Ultrasound FMs benchmarked for fetal plane classification

By PulseAugur Editorial · [1 sources] ·

Researchers have benchmarked several foundation models (FMs) for fetal plane classification using ultrasound images, aiming to improve diagnostic accuracy in obstetric care. The study compared ultrasound-specific FMs like FetalCLIP and USFM against general computer vision models such as ResNet50 and ViT (DINOv3). FetalCLIP excelled in a linear probing setting, while USFM performed best with full fine-tuning, demonstrating that the choice of pretraining objective significantly impacts transferability and classification performance, especially across different populations. AI

RANK_REASON Academic paper presenting a benchmark of foundation models for a specific medical imaging task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Ultrasound FMs benchmarked for fetal plane classification

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Academic paper presenting a benchmark of foundation models for a specific medical imaging task. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Leya Barrientos, Yuexi Du, Nicha C. Dvornek ·

    Benchmarking Ultrasound Foundation Models for Fetal Plane Classification

    arXiv:2605.27796v1 Announce Type: cross Abstract: Ultrasound is widely used in obstetric care due to its safety, accessibility, and real-time imaging. However, interpretation remains operator-dependent and susceptible to noise and artifacts. Deep learning models have shown strong…

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