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Prediction of Pathological Complete Response to Neoadjuvant..:
, In:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; Lecture Notes in Computer Science
,
Duanmu, Hongyi
;
Huang, Pauline Boning
;
Brahmavar, Srinidhi
... - p. 242-252 , 2020
Link:
https://doi.org/10.1007/978-3-030-59713-9_24
RT T1 <cTitle>Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; Lecture Notes in Computer Science</cTitle>: T1 <Title>Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Deep Learning with Integrative Imaging, Molecular and Demographic Data</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-3-030-59713-9_24&Exemplar=1&LAN=DE A1 Duanmu, Hongyi A1 Huang, Pauline Boning A1 Brahmavar, Srinidhi A1 Lin, Stephanie A1 Ren, Thomas A1 Kong, Jun A1 Wang, Fusheng A1 Duong, Tim Q. PB Springer International Publishing YR 2020 SP 242 OP 252 LK http://dx.doi.org/https://doi.org/10.1007/978-3-030-59713-9_24 DO https://doi.org/10.1007/978-3-030-59713-9_24 SF ELIB - SuUB Bremen
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