Preoperative Non-Invasive Prediction of Breast Cancer Molecular Subtypes With a Deep Convolutional Neural Network on Ultrasound Images

PURPOSE: This study aimed to develop a deep convolutional neural network (DCNN) model to classify molecular subtypes of breast cancer from ultrasound (US) images together with clinical information. METHODS: A total of 1,012 breast cancer patients with 2,284 US images (center 1) were collected as the...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Chunxiao, Huang, Haibo, Chen, Ying, Shao, Sihui, Chen, Jing, Wu, Rong, Zhang, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339685/
https://www.ncbi.nlm.nih.gov/pubmed/35924158
http://dx.doi.org/10.3389/fonc.2022.848790

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339685/
https://www.ncbi.nlm.nih.gov/pubmed/35924158
http://dx.doi.org/10.3389/fonc.2022.848790

Ejemplares similares