Predicting axillary lymph node metastasis in breast cancer using a multimodal radiomics and deep learning model

Predicting axillary lymph node metastasis in breast cancer using a multimodal radiomics and deep learning model

ObjectiveTo explore the value of combined radiomics and deep learning models using different machine learning algorithms based on mammography (MG) and magnetic resonance imaging (MRI) for predicting axillary lymph node metastasis (ALNM) in breast cancer (BC). The objective is to provide guidance for...

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Bibliographic Details
Main Authors: Fuyu Guo, Shiwei Sun, Xiaoqian Deng, Yue Wang, Wei Yao, Peng Yue, Shaoduo Wu, Junrong Yan, Xiaojun Zhang, Yangang Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Immunology
Subjects:
mammography
magnetic resonance imaging
machine learning
radiomics
deep learning
breast cancer
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1482020/full
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https://www.frontiersin.org/articles/10.3389/fimmu.2024.1482020/full

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