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HES-SO Valais-Wallis, University of Geneva (UNIGE)
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A single model can now outperform ensembles in histopathology, achieving scale-invariance while slashing training costs by up to 80%.
Achieving near-supervised accuracy in tumor classification while revealing spatial growth patterns of lung adenocarcinoma using a novel weakly supervised approach.