Pretreatment MRI radiomics for predicting pathological Miller-Payne grading in breast cancer following neoadjuvant chemotherapy

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Publication Details

Journal
Cancer Imaging
Published
2026-01-16
DOI
https://doi.org/10.1186/s40644-026-00990-5
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Pretreatment MRI radiomics for predicting pathological Miller-Payne grading in breast cancer following neoadjuvant chemotherapy

Ruolan Wang, Zaoxiu Hu, Fengming Ran, Qinqing Li et al.
Cancer Imaging
Radiomics and Machine Learning in Medical Imaging
article

Pretreatment MRI radiomics for predicting pathological Miller-Payne grading in breast cancer following neoadjuvant chemotherapy

Ruolan Wang, Zaoxiu Hu, Fengming Ran, Qinqing Li, Depei Gao, Jun Yang, Chengliu Bi, Shaomei Sun, Ao Chen
article en

Abstract

No abstract available for this paper.
Cancer ImagingVol. 26(1)
Kunming Medical University (CN)
Reduced inequalities
Openalex Percentile: Top 88%
Radiomics and Machine Learning in Medical Imaging
DOIOpen Access PDFOpenAlex
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Pretreatment MRI radiomics for predicting pathological Miller-Payne grading in breast cancer following neoadjuvant chemotherapy — Ruolan Wang, Zaoxiu Hu, et al. · Cancer Imaging (2026) | TGRS Research Map | TGRS