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相关概念视频

The Uncertainty Principle04:08

The Uncertainty Principle

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Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He...
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Cancer Survival Analysis01:21

Cancer Survival Analysis

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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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Reliability and Validity01:29

Reliability and Validity

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Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

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Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
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Nuclear Fusion02:45

Nuclear Fusion

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The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons.
A helium nucleus has a mass that is 0.7% less than that of four hydrogen nuclei; this lost mass is converted into energy during the fusion. This reaction produces about...
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Uncertainty: Overview00:59

Uncertainty: Overview

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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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相关实验视频

Updated: Feb 5, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
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Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

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不确定性引导的代对比融合用于可靠的生存预测直肠癌.

Qingsen Bao, Lei Chen, Ling Dai

    IEEE transactions on medical imaging
    |February 3, 2026
    PubMed
    概括

    这项研究引入了UICSurv,这是使用多式联络数据预测直肠癌存活率的新框架. 它通过处理数据变化和指导与不确定性估计的融合来提高准确性.

    科学领域:

    • 在瘤学瘤学.
    • 放射学 放射学是一门学科.
    • 数据科学数据科学数据科学

    背景情况:

    • 多模式数据集成对于直肠癌存活率预测至关重要.
    • 现有的方法与模式和站点异质性作斗争,影响模型性能.
    • 这种异质性限制了捕捉跨模式关系和适应数据分布变化.

    研究的目的:

    • 提出UICSurv,一个新的多式联运生存预测框架.
    • 解决直肠癌数据中的模式和部位异质性.
    • 使用样本级别的不确定性来提高核聚变的可靠性.

    主要方法:

    • 开发了UICSurv,一个使用不确定性引导代对比融合的框架.
    • 采用交叉注意力来实现异质模式的代融合.
    • 实施的生存对比学习 (SCL) 用于跨站点对齐和生存区分.
    • 引入了EvidenceHit模块,用于联合生存概率和不确定性估计.

    主要成果:

    • 与现有方法相比,UICSurv在生存预测方面表现优越.
    • 该框架显示了增强的不确定性估计能力.
    • 在多位点直肠癌数据集上的实验验证实了该方法的有效性.

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    结论:

    • UICSurv有效地捕捉了强大的跨站点多式联络,用于直肠癌生存预测.
    • 不确定性引导的方法提高了聚变的可靠性和模型的适应性.
    • 拟议的方法在预测直肠癌生存结果方面取得了重大进展.