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<div><p>Advancement of AI has opened new possibility for accurate diagnosis and prognosis using digital histopathology slides which not only saves hours of expert effort but also makes the estimation more standardized and accurate. However, preserving the AI model performance on the exte...

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Bibliographic Details
Main Author:	Ramón L. Correa-Medero (20314598) (author)
Other Authors:	Rish Pai (13894442) (author), Kingsley Ebare (20314601) (author), Daniel D. Buchanan (9101491) (author), Mark A. Jenkins (9292697) (author), Amanda I. Phipps (6870275) (author), Polly A. Newcomb (9335463) (author), Steven Gallinger (108153) (author), Robert Grant (74834) (author), Loic Le marchand (20314604) (author), Imon Banerjee (6307898) (author)
Published:	2024
Subjects:	Ecology Cancer Science Policy Biological Sciences not elsewhere classified opened new possibility latent probability adjustment extremely challenging problem causal reasoning framework histopathology &# 8212 causal debiasing solution div >< p ai model performance ai model generalizibility causal debiasing histopathology domain ai model ai models model training deepsurvival model unknown </ source codebase saves hours primarily due predict recurrence novel addition free survival external sites expert effort demonstrated benefit data acquisition clinical application auxiliary losses also makes ablation study
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