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Convolutional neural network based on automatic segmentation of peritumoral shear-wave elastography images for predicting breast cancer
OBJECTIVE: Our 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. METHOD: We retrospectively collected US images and SWE data of 1271 ACR- BIRADS 4 breast lesi...
Autores principales: | Xie, Li, Liu, Zhen, Pei, Chong, Liu, Xiao, Cui, Ya-yun, He, Nian-an, Hu, Lei |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9970986/ https://www.ncbi.nlm.nih.gov/pubmed/36865812 http://dx.doi.org/10.3389/fonc.2023.1099650 |
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