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Training AI to Improve Distinction of Triple-Negative Invasive Breast Cancer from Cysts and Fibroadenomas on Ultrasound

<b>Background/Objectives:</b> Circumscribed oval, hypoechoic masses are common on screening breast ultrasound (US), and the vast majority are benign. Triple-receptor negative invasive breast cancer (TNBC) can appear similar, resulting in both human and artificial intelligence (AI) interpretive error...

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Principais autores: Wendie A. Berg, Andriy I. Bandos, Linda H. Larsen, Samantha L. Heller, Regina J. Hooley, Richard S. Ha, Maham Siddique, Jeremy M. Berg, Yuying Cao, R. Chad McClennan, Ajit Jairaj
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2026-04-01
coleção:Diagnostics
Assuntos:
breast ultrasound
artificial intelligence
triple-negative invasive breast cancer
BI-RADS
complicated cysts
Acesso em linha:https://www.mdpi.com/2075-4418/16/9/1354
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