Lung cancer segmentation dataset with Lung-RADS class

The lung cancer segmentation dataset comprises CT images paired with corresponding lung cancer masks, meticulously labeled by radiologists according to the Lung-RADS System. This dataset is a fusion of original Kazakhstani local data from the Kazakh Research Institute of Oncology and Radiology, and the openly available LIDC-IDRI dataset [1], which has been re-labeled. The entire dataset has been divided into training and testing sets, with the training set consisting of 708 CT images and the test set containing 264 CT images. All images share a standardized labeling format:
• label1 – class according to Lung-RADS System
• mask – binary mask of lung cancer area
• hu_array_old – CT image converted standardized in Hounsfield Units
• hu_array – CT image with dropped non-lung area via thresholding-based algorithm
Important! Fields label1 and mask have been manually labeled by the doctor-radiologist, hu_array has been labeled via automated thresholding-based algorithm and was not additionally checked by the human eye.
[1] Armato III, S. G., McLennan, G., Bidaut, L., McNitt-Gray, M. F., Meyer, C. R., Reeves, A. P., Zhao, B., Aberle, D. R., Henschke, C. I., Hoffman, E. A., Kazerooni, E. A., MacMahon, H., Van Beek, E. J. R., Yankelevitz, D., Biancardi, A. M., Bland, P. H., Brown, M. S., Engelmann, R. M., Laderach, G. E., Max, D., Pais, R. C. , Qing, D. P. Y. , Roberts, R. Y., Smith, A. R., Starkey, A., Batra, P., Caligiuri, P., Farooqi, A., Gladish, G. W., Jude, C. M., Munden, R. F., Petkovska, I., Quint, L. E., Schwartz, L. H., Sundaram, B., Dodd, L. E., Fenimore, C., Gur, D., Petrick, N., Freymann, J., Kirby, J., Hughes, B., Casteele, A. V., Gupte, S., Sallam, M., Heath, M. D., Kuhn, M. H., Dharaiya, E., Burns, R., Fryd, D. S., Salganicoff, M., Anand, V., Shreter, U., Vastagh, S., Croft, B. Y., Clarke, L. P. (2015). Data From LIDC-IDRI [Data set]. The Cancer Imaging Archive, doi: https://doi.org/10.7937/K9/TCIA.2015.LO9QL9SX

本肺癌分割数据集包含配对的CT图像与对应肺癌掩码，由放射科医师依据肺影像报告和数据系统（Lung-RADS System）进行精准标注。本数据集由哈萨克斯坦肿瘤与放射学研究所（Kazakh Research Institute of Oncology and Radiology）提供的哈萨克斯坦本土原始数据，与经重新标注的公开可用LIDC-IDRI数据集[1]融合而成。整个数据集已划分为训练集与测试集，其中训练集包含708张CT图像，测试集包含264张CT图像。所有图像均采用标准化标注格式：
• label1——依据肺影像报告和数据系统划分的类别
• mask——肺癌区域的二值掩码
• hu_array_old——经亨斯菲尔德单位（Hounsfield Units）标准化转换后的CT图像
• hu_array——通过基于阈值的算法去除非肺部区域后的CT图像
重要提示：label1与mask字段均由放射科医师手动标注，而hu_array通过自动化阈值算法完成标注，未经过人工目视复核。
[1] Armato III S G, McLennan G, Bidaut L, McNitt-Gray M F, Meyer C R, Reeves A P, Zhao B, Aberle D R, Henschke C I, Hoffman E A, Kazerooni E A, MacMahon H, Van Beek E J R, Yankelevitz D, Biancardi A M, Bland P H, Brown M S, Engelmann R M, Laderach G E, Max D, Pais R C, Qing D P Y, Roberts R Y, Smith A R, Starkey A, Batra P, Caligiuri P, Farooqi A, Gladish G W, Jude C M, Munden R F, Petkovska I, Quint L E, Schwartz L H, Sundaram B, Dodd L E, Fenimore C, Gur D, Petrick N, Freymann J, Kirby J, Hughes B, Casteele A V, Gupte S, Sallam M, Heath M D, Kuhn M H, Dharaiya E, Burns R, Fryd D S, Salganicoff M, Anand V, Shreter U, Vastagh S, Croft B Y, Clarke L P. (2015). LIDC-IDRI数据集 [数据集]. 癌症影像档案库, doi: https://doi.org/10.7937/K9/TCIA.2015.LO9QL9SX

搜集汇总

背景与挑战

背景概述

该数据集是一个肺癌分割数据集，包含CT图像及对应的肺癌掩码，由放射科医生根据Lung-RADS系统手动标注，融合了哈萨克斯坦本地数据和公开的LIDC-IDRI数据集。数据集分为训练集（708张图像）和测试集（264张图像），提供标准化标注格式，包括肺癌分类、分割掩码和经过处理的CT图像，适用于肺癌检测和分类研究。