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Machine learning prediction of axillary lymph node metastasis in breast cancer: 2D versus 3D radiomic features
Medical Physics ( IF 3.2 ) Pub Date : 2020-10-15 , DOI: 10.1002/mp.14538 Dooman Arefan 1 , Ruimei Chai 2 , Min Sun 3 , Margarita L Zuley 1, 4 , Shandong Wu 5
Medical Physics ( IF 3.2 ) Pub Date : 2020-10-15 , DOI: 10.1002/mp.14538 Dooman Arefan 1 , Ruimei Chai 2 , Min Sun 3 , Margarita L Zuley 1, 4 , Shandong Wu 5
Affiliation
The purpose of this study was to distinguish axillary lymph node (ALN) status using preoperative breast DCE‐MRI radiomics and compare the effects of two‐dimensional (2D) and three‐dimensional (3D) analysis.
中文翻译:
乳腺癌腋窝淋巴结转移的机器学习预测:2D 与 3D 影像学特征
本研究的目的是使用术前乳房 DCE-MRI 影像组学区分腋窝淋巴结 (ALN) 状态,并比较二维 (2D) 和三维 (3D) 分析的效果。
更新日期:2020-10-15
中文翻译:
乳腺癌腋窝淋巴结转移的机器学习预测:2D 与 3D 影像学特征
本研究的目的是使用术前乳房 DCE-MRI 影像组学区分腋窝淋巴结 (ALN) 状态,并比较二维 (2D) 和三维 (3D) 分析的效果。