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Can Machine-Learning-based Radiomics of Whole Tumor on MR Multiparametric Maps Predict the Ki-67 index of Breast Cancer?

Author:Tianwen Xie  Qiufeng Zhao  Caixia Fu  Robert Grimm  Yajia Gu  Weijun Peng  

Institution:Fudan University Shanghai Cancer Center  Longhua Hospital, Shanghai University of Traditional Chinese Medicine  Siemens Healthcare  Siemens Healthcare  Siemens Shenzhen Magnetic Resonance, Shenzhen, China  

Session Type:Oral  

Session Date:Monday, 13 May 2019  

Session Time:16:00  

Session Name:Breast  

Program Number:0285  

Presentation Time:17:36   

Room Number:Room 513D-F  

Computer Number:

Differentiation Idiopathic Granulomatous Mastitis and Breast Carcinoma: Value of Whole-Lesion Histogram and Texture Analysis Using Quantitative ADC Map

Whole-Tumor Histogram and Textural Analysis of Model-based T2 Mapping for the Ki-67 Labeling Index of Breast Cancer