Artificial intelligence in contrast enhanced ultrasound: A new era for liver lesion assessment

doi:10.3748/wjg.v31.i42.112196

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World Journal of Gastroenterology

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1007-9327

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastroenterol. Nov 14, 2025; 31(42): 112196
Published online Nov 14, 2025. doi: 10.3748/wjg.v31.i42.112196

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Figure 4 Example of automated lesion segmentation vs expert ground truth. A: Original B-mode contrast-enhanced ultrasound image with a visible liver lesion; B: Gastroenterologist’s manual segmentation mask (ground truth); C: U-Net model predicted lesion mask on the same frame.

Citation: Ciocalteu A, Urhut CM, Streba CT, Kamal A, Mamuleanu M, Sandulescu LD. Artificial intelligence in contrast enhanced ultrasound: A new era for liver lesion assessment. World J Gastroenterol 2025; 31(42): 112196
URL: https://www.wjgnet.com/1007-9327/full/v31/i42/112196.htm
DOI: https://dx.doi.org/10.3748/wjg.v31.i42.112196

Ciocalteu A, Urhut CM, Streba CT, Kamal A, Mamuleanu M, Sandulescu LD. Artificial intelligence in contrast enhanced ultrasound: A new era for liver lesion assessment. World J Gastroenterol 2025; 31(42): 112196 [PMID: 41278165 DOI: 10.3748/wjg.v31.i42.112196]

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