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

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

PurposeThis 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.MethodsA total of 1,012 breast cancer patients with 2,284 US images (center 1) were collected as the main...

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Bibliographic Details
Main Authors: Chunxiao Li, Haibo Huang, Ying Chen, Sihui Shao, Jing Chen, Rong Wu, Qi Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Oncology
Subjects:
deep convolutional neural network
ultrasound
breast cancer
molecular subtype
luminal A
triple-negative breast cancer
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.848790/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.848790/full

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