谦虚的人
发表于 2025-3-30 10:28:42
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placebo-effect
发表于 2025-3-30 15:55:59
,Uncertainty Estimation in Liver Tumor Segmentation Using the Posterior Bootstrap,sterior bootstrap method provides improvement on uncertainty estimation with equivalent segmentation performance. The proposed method is easy to implement, compatible with any deep learning-based image segmentation pipeline, and doesn’t require additional hyper-parameter tuning, enabling it to total
征税
发表于 2025-3-30 19:45:49
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混合
发表于 2025-3-30 23:18:29
https://doi.org/10.1007/978-3-031-44336-7Uncertainty modelling; Machine learning; Medical Imaging; Uncertainty calibration; artificial intelligen
有恶臭
发表于 2025-3-31 04:38:36
978-3-031-44335-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
发展
发表于 2025-3-31 05:21:50
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging978-3-031-44336-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
CLAP
发表于 2025-3-31 10:00:25
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Obligatory
发表于 2025-3-31 14:56:54
,Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis,-linear registration: 19 vs 13 significant bits on average; whole-brain segmentation: 0.99 vs 0.92 Sørensen-Dice score on average), which suggests a better reproducibility of CNN results across execution environments.
拉开这车床
发表于 2025-3-31 18:50:34
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation,leneck features with principal component analysis, images the model failed on were detected with high performance and minimal computational load. Specifically, the proposed technique achieved 92% area under the receiver operating characteristic curve and 94% area under the precision-recall curve and can run in seconds on a central processing unit.
Sciatica
发表于 2025-4-1 00:37:50
Conference proceedings 2023publication. The accepted papers cover the fields of uncertainty estimation and modeling, as well as out of distribution management, domain shift robustness, Bayesian deep learning and uncertainty calibration..