Deep learning algorithm using bispectrum analysis energy feature maps based on ultrasound radiofrequency signals to detect breast cancer

Deep learning algorithm using bispectrum analysis energy feature maps based on ultrasound radiofrequency signals to detect breast cancer

BackgroundUltrasonography is an important imaging method for clinical breast cancer screening. As the original echo signals of ultrasonography, ultrasound radiofrequency (RF) signals provide abundant tissue macroscopic and microscopic information and have important development and utilization value...

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Bibliographic Details
Main Authors: Qingmin Wang, Xiaohong Jia, Ting Luo, Jinhua Yu, Shujun Xia
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Oncology
Subjects:
ultrasound radiofrequency signals
bispectrum analysis
breast cancer
deep learning
weight sharing
attention mechanism
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1272427/full

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https://www.frontiersin.org/articles/10.3389/fonc.2023.1272427/full

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