Establishment of an interpretable MRI radiomics-based machine learning model capable of predicting axillary lymph node metastasis in invasive breast cancer

Dingyi Zhang; Mengyi Shen; Li Zhang; Xin He; Xiaohua Huang

doi:10.1038/s41598-025-10818-0

Establishment of an interpretable MRI radiomics-based machine learning model capable of predicting axillary lymph node metastasis in invasive breast cancer

D Dingyi Zhang M Mengyi Shen L Li Zhang X Xin He X Xiaohua Huang (Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agriculture Sciences in Weifang)

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 15, Issue 1

Published July 18, 2025

DOI 10.1038/s41598-025-10818-0

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (5)

D

Dingyi Zhang

M

Mengyi Shen

L

Li Zhang

X

Xin He

X

Xiaohua Huang

Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agriculture Sciences in Weifang

Establishment of an interpretable MRI radiomics-based machine learning model capable of predicting axillary lymph node metastasis in invasive breast cancer

Article Details

Journal Info

Authors (5)

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