Convolutional neural network based on automatic segmentation of peritumoral shear-wave elastography images for predicting breast cancer

Convolutional neural network based on automatic segmentation of peritumoral shear-wave elastography images for predicting breast cancer

ObjectiveOur aim was to develop dual-modal CNN models based on combining conventional ultrasound (US) images and shear-wave elastography (SWE) of peritumoral region to improve prediction of breast cancer.MethodWe retrospectively collected US images and SWE data of 1271 ACR- BIRADS 4 breast lesions f...

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Bibliographic Details
Main Authors: Li Xie, Zhen Liu, Chong Pei, Xiao Liu, Ya-yun Cui, Nian-an He, Lei Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Oncology
Subjects:
convolutional neural networks (CNN)
shear-wave elastography (SWE)
peritumoral stiffness
segmentation
breast cancer
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1099650/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1099650/full

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