The following represents disclosure information provided by authors of this abstract. The program committee has reviewed all presenting author disclosure reports, identified potential conflicts of interest, and implemented strategies to manage those areas of conflict, where appropriate. All relationships are considered compensated. Relationships are self-held unless otherwise noted. I = Immediate Family Member, Inst = My Institution
 
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Survival outcome prediction of breast carcinomas on whole-slide histopathology images using deep learning.
 
Julian Paul
No Relationships to Disclose
 
Céline Bossard
No Relationships to Disclose
 
Joseph Rynkiewicz
No Relationships to Disclose
 
Florence Molinié
No Relationships to Disclose
 
Sanae Salhi
No Relationships to Disclose
 
Jean-Sebastien Frenel
Consulting or Advisory Role - Amgen; AstraZeneca (Inst); Clovis Oncology (Inst); Daiichi Sankyo Europe GmbH (Inst); Eisai; Exact Sciences (Inst); Gilead Sciences; GlaxoSmithKline; Lilly; MSD Oncology (Inst); Novartis (Inst); Pfizer; Seagen
Travel, Accommodations, Expenses - AstraZeneca; Daiichi Sankyo Europe GmbH; Gilead Sciences; Lilly; MSD Oncology; Novartis; Pfizer; seagen
 
Yahia Salhi
No Relationships to Disclose
 
Jérôme Chetritt
No Relationships to Disclose