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Updated: Jun 7, 2025

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用未标记数据进行瘤预测的不确定性估计

Juyoung Yun1, Shahira Abousamra1, Chen Li1

  • 1Stony Brook University, Department of Computer Science, USA.

Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops
|November 18, 2024
PubMed
概括

本研究引入了数字病理学模型的新学习方法,以更好地估计使用未标记数据的神经网络的不确定性. 该方法通过有效利用现有数据来提高模型的透明度和可信度.

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相关概念视频

Uncertainty: Overview00:59

Uncertainty: Overview

In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
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