RIDER Lung CT 肺癌CT影像数据集

RIDER Lung CT Dataset 是用于评估非小细胞肺癌患者 CT 扫描图像的肿瘤变异性数据集，其包含 15419 张图片。该数据集包含 32 名非小细胞肺癌患者的信息，每位患者均在 15 分钟内通过相同方案进行两次胸部 CT 扫描，放射科医生则在图像中独立测量每个肿瘤的最大直径，并且计算机软件会被用于协助测量，并使用一致性相关系数和 Bland-Altman 图协助评估。 该数据集由癌症影像档案 TCIA 于 2015 年发布，相关论文有《Data From RIDER – Lung CT：The Cancer Imaging Archive》。

The RIDER Lung CT Dataset is a tumor variability dataset for evaluating CT scan images of patients with non-small cell lung cancer, comprising 15,419 images. The dataset contains information from 32 patients with non-small cell lung cancer, each of whom underwent two chest CT scans using the same protocol within 15 minutes. Radiologists independently measured the maximum diameter of each tumor in the images, with computer software utilized to assist in the measurements. The concordance correlation coefficient and Bland-Altman plots were employed to facilitate the evaluation. This dataset was released by The Cancer Imaging Archive (TCIA) in 2015, and the associated academic paper is titled "Data From RIDER – Lung CT: The Cancer Imaging Archive".

搜集汇总

背景与挑战

背景概述

RIDER Lung CT 肺癌CT影像数据集包含15419张图片，用于评估非小细胞肺癌患者CT扫描图像的肿瘤变异性。数据集包含32名患者的两次胸部CT扫描信息，放射科医生和计算机软件共同参与肿瘤测量，由癌症影像档案TCIA于2015年发布。