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...

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Detalles Bibliográficos
Autores principales: Xie, Li, Liu, Zhen, Pei, Chong, Liu, Xiao, Cui, Ya-yun, He, Nian-an, Hu, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
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

Internet

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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