ArticleFrontiers in medical technology2026
Beyond segmentation accuracy: understanding model reliability and failure modes in ultrasound image analysis.
Article in Frontiers in medical technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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5 authors.
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Abstract
Segmentation of ultrasound images is complex, and although deep learning has improved automation, trust remains limited, restricting adoption. Interpretability methods may help reveal model behaviours and failure modes, supporting more trustworthy AI systems. A U-Net with a ResNet-18 backbone was trained to segment pipes in images of the Edinburgh Pipe Phantom acquired using ten ultrasound probes (
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