巨硕 发表于 2025-3-28 14:50:28

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倔强不能 发表于 2025-3-28 19:40:39

Diagnose with Uncertainty Awareness: Diagnostic Uncertainty Encoding Framework for Radiology Report is integrated with a report generation model under a novel visual-language encoding mechanism. Extensive experiments on two public benchmark datasets demonstrate that DiagUE could outperform SOTA baselines in ensuring the clinical accuracy of both abnormality description and diagnostic uncertainty o

orthodox 发表于 2025-3-29 00:03:04

Making Deep Learning Models Clinically Useful - Improving Diagnostic Confidence in Inherited Retinale assessed: Least Ambiguous Adaptive Prediction Sets (LAPS), Adaptative Prediction Sets (APS), and Regularized Adaptive Prediction Sets (RAPS). Our IRD classifier (Eye2Gene), in combination with the three conformal predictors, was evaluated on an internal holdout subset and datasets from four extern

ascetic 发表于 2025-3-29 06:01:10

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granite 发表于 2025-3-29 10:02:37

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Anthem 发表于 2025-3-29 12:46:14

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jarring 发表于 2025-3-29 18:05:09

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领巾 发表于 2025-3-29 23:17:51

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旧石器时代 发表于 2025-3-30 00:14:53

Typicality Excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging imaging, where test samples are juxtaposed against the probability mass rather than the density. The obtained findings demonstrate the superiority of evaluating typicality against likelihood for finding pathological abnormalities. We achieve state-of-the-art performance on the ISIC, COVID-19, and R

纹章 发表于 2025-3-30 06:49:50

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查看完整版本: Titlebook: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging; 6th International Wo Carole H. Sudre,Raghav Mehta,William M. Wells