Distribution of nodule characteristics.

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肺结节诊断

医学影像统计

数据链接：

https://figshare.com/articles/dataset/Distribution_of_nodule_characteristics_/5094814 数据链接链接失效反馈

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资源简介：

Median , median DSIAgree and their corresponding interquartile ranges (IQR) for each nodule characteristic.

创建时间：

2017-06-09

Data from: Assessment of plasma proteomics biomarker’s ability to distinguish benign from malignant lung nodules

肺结节诊断

蛋白质组学

Background: Lung nodules are a diagnostic challenge, with an estimated yearly incidence of 1.6 million in the United States. This study evaluated the accuracy of an integrated proteomic classifier in

DataONE2018-05-16 更新110

Results of Logistic Regression Analysis for Clinical, Thin-Section CT and Texture analysis of Transient and Persistent PSNs.

肺结节诊断

CT分析

Whole PSN data. PSNs = part-solid nodules CI = confidence interval.

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Intra-class correlation coefficient (ICC) amongst CANARY voxel subtypes from nodules less than 1cm in diameter.

肺结节诊断

影像组学特征量化

Avg. is the average of all voxel classes. 95% CI is shown in parentheses below the ICC.

Figshare2018-06-01 更新20

Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning

肺结节诊断

计算机辅助诊断

We developed a computer-aided diagnosis (CADx) method for classification between benign nodule, primary lung cancer, and metastatic lung cancer and evaluated the following: (i) the usefulness of the d

NIAID Data Ecosystem50

The mean score, the standard error mean, and p values from the color Doppler ultrasound data, which gives an indication of perfusion.

彩色多普勒超声灌注分析

医学影像统计

The mean score, the standard error mean, and p values from the color Doppler ultrasound data, which gives an indication of perfusion.

NIAID Data Ecosystem20