Data Sheet 1_Enhancing preoperative HER2 status classification of invasive breast cancers using machine learning models based on clinicopathological and MRI features: a multicenter study.docx

Data Sheet 1_Enhancing preoperative HER2 status classification of invasive breast cancers using machine learning models based on clinicopathological and MRI features: a multicenter study.docx

Rationale and Objectives<p>The human epidermal growth factor receptor 2 (HER2) gene status is crucial for determining treatment efficacy. This study assessed preoperative HER2 classification in breast cancer using machine learning based on clinicopathological and MRI characteristics.</p>...

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Opis bibliograficzny
1. autor: Suhong Zhao (10057478) (author)
Kolejni autorzy: Zhaohua Li (433864) (author), Yanan Wang (123548) (author), Fang Zhao (11980) (author), Peipei Chen (1605268) (author), Guodong Pang (20927963) (author)
Wydane: 2025
Hasła przedmiotowe:
Cell Biology
magnetic resonance imaging
clinicopathological features
breast cancer
humanepidermal growth factor 2
machine learning
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