Výsledky vyhledávání - "HUSAIN, A. N."

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Deep Learning Generates Synthetic Cancer Histology for Explainability and Education

Artificial intelligence methods including deep neural networks (DNN) can provide rapid molecular classification of tumors from routine histology with accuracy that matches or exceeds human pathologists. Discerning how neural networks make their predi

Externí odkaz: http://arxiv.org/abs/2211.06522

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Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology

Autor: Dolezal, James M, Srisuwananukorn, Andrew, Karpeyev, Dmitry, Ramesh, Siddhi, Kochanny, Sara, Cody, Brittany, Mansfield, Aaron, Rakshit, Sagar, Bansa, Radhika, Bois, Melanie, Bungum, Aaron O, Schulte, Jefree J, Vokes, Everett E, Garassino, Marina Chiara, Husain, Aliya N, Pearson, Alexander T

A model's ability to express its own predictive uncertainty is an essential attribute for maintaining clinical user confidence as computational biomarkers are deployed into real-world medical settings. In the domain of cancer digital histopathology,

Externí odkaz: http://arxiv.org/abs/2204.04516

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