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AI-enabled RF data synthesis for breast ultrasound: efficacy in quantitative ultrasound tissue characterization

Nasrin Sheibani-Asl1, Laurentius O Osapoetra2,3, Gregory J Czarnota2,3,4

  • 1Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON, Canada.

Scientific Reports
|March 7, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
B-mode Ultrasound ImagingBreast Lesion CharacterizationConditional Generative Adversarial Networks (cGANs)Generative AIQuantitative UltrasoundSynthetic Radio-Frequency (RF) DataVision Transformer (ViT)

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