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Early prediction of pathologic complete response to neoadjuvant systemic therapy for triple-negative breast cancer using deep learning

Author:Zijian Zhou  David Rauch  Jong Bum Son  Benjamin Musall  Nabil Elshafeey  Jason White  Mark Pagel  Stacy Moulder  Jingfei Ma  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Breast: What's New  

Session Name:Breast: DWI, AI & Emerging Techniques  

Program Number:1119  

Room Session:Concurrent 7  

Institution:The University of Texas MD Anderson Cancer Center  

Radiomics model based on MAGIC acquisition for predicting neoadjuvant systemic treatment response in triple-negative breast cancer.

Author:Nabil Elshafeey  Gaiane Rauch  Aikaterini Kotrotsou  Beatriz Adrada  Rosalind Candelaria  Abeer Abdelhafez  Huiqin Chen  Jia Sun  Medine Boge  Rania Mohamed  Benjamin Musall  Jong Son  Shu Zhang  Jason White  Brandy Willis  Elizabeth Ravenberg  Wei Peng  Stacy Moulder  Wei Yang  Mark Pagel  Jingfei Ma  Ken-Pin Hwang  

Session Type:Oral  

Session Date:Monday, 17 May 2021  

Topic:Breast: What's New  

Session Name:Breast: What's New  

Program Number:0062  

Room Session:Concurrent 7  

Institution:The University of Texas MD Anderson Cancer Center