Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology
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DOI: 10.1038/s41467-022-34025-x
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- Stephen-John Sammut & Mireia Crispin-Ortuzar & Suet-Feung Chin & Elena Provenzano & Helen A. Bardwell & Wenxin Ma & Wei Cope & Ali Dariush & Sarah-Jane Dawson & Jean E. Abraham & Janet Dunn & Louise H, 2022. "Multi-omic machine learning predictor of breast cancer therapy response," Nature, Nature, vol. 601(7894), pages 623-629, January.
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- Dani Kiyasseh & Aaron Cohen & Chengsheng Jiang & Nicholas Altieri, 2024. "A framework for evaluating clinical artificial intelligence systems without ground-truth annotations," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
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