相关实验视频

Updated: Jun 28, 2025

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

42.9K

使用响应转换来测量成像数据集的易受被选择的标准分析管道过度装配的敏感性

Jayasree Chakraborty1, Abhishek Midya1, Brenda F Kurland2

  • 1Department of Surgery, Hepatopancreatobiliary Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.

Academic radiology
|April 13, 2024
PubMed
概括

在成像生物标志物开发中,量化过拟合是至关重要的. 这项研究表明,交叉验证有效地减轻了过拟合,推最小样本大小,以可靠地分析放射学和病理学数据.

关键词:
的 AUC AUC 的 AUC.这是一个偏见的偏见.分类器的性能表现.机器学习是机器学习.过度装配 过度装配 是一个问题.无线电学 (Radiomics) 是一种放射学.

更多相关视频

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.6K
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

70.7K

相关概念视频

Wald-Wolfowitz Runs Test I01:17

Wald-Wolfowitz Runs Test I

The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
643