Machine learning-based ultrasound radiomics for predicting risk of recurrence in breast cancer

Machine learning-based ultrasound radiomics for predicting risk of recurrence in breast cancer

PurposeTo develop a radiomics model based on ultrasound images for predicting risk of recurrence in breast cancer patients.MethodsIn this retrospective study, 420 patients with pathologically confirmed breast cancer were included, randomly divided into training (70%) and test (30%) sets, with an ind...

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Bibliographic Details
Main Authors: Wei Fan, Hao Cui, Xiaoxue Liu, Xudong Zhang, Xinran Fang, Junjia Wang, Zihao Qin, Xiuhua Yang, Jiawei Tian, Lei Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Oncology
Subjects:
radiomics
breast cancer
recurrence risk
ultrasound
nomogram
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1542643/full
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