Artificial Intelligence-Enhanced Quantitative Ultrasound for Breast Cancer: Pilot Study on Quantitative Parameters and Biopsy Outcomes

Artificial Intelligence-Enhanced Quantitative Ultrasound for Breast Cancer: Pilot Study on Quantitative Parameters and Biopsy Outcomes

Traditional B-mode ultrasound has difficulties distinguishing benign from malignant breast lesions. It appears that Quantitative Ultrasound (QUS) may offer advantages. We examined the QUS imaging system’s potential, utilizing parameters like Attenuation Coefficient (AC), Speed of Sound (SoS), Effect...

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Bibliographic Details
Main Authors: Hyuksool Kwon, Seokhwan Oh, Myeong-Gee Kim, Youngmin Kim, Guil Jung, Hyeon-Jik Lee, Sang-Yun Kim, Hyeon-Min Bae
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Diagnostics
Subjects:
breast cancer
quantitative ultrasound
artificial intelligence
Online Access:https://www.mdpi.com/2075-4418/14/4/419

Internet

https://www.mdpi.com/2075-4418/14/4/419

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