Data belonging to Predicting the 1p/19q co-deletion status of presumed low grade glioma with an externally validated machine learning algorithm

Data belonging to the 'Predicting the 1p/19q co-deletion status of presumed low grade glioma with an externally validated machine learning algorithm' paper, as publisched in Clinical Cancer Research. When using this data please cite: Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm. Sebastian R. van der Voort, Fatih Incekara, Maarten M.J. Wijnenga, Georgios Kapas, Mayke Gardeniers, Joost W. Schouten, Martijn P.A. Starmans, Rishie Nandoe Tewarie, Geert J. Lycklama, Pim J. French, Hendrikus J. Dubbink, Martin J. van den Bent, Arnaud J.P.E. Vincent, Wiro J. Niessen, Stefan Klein and Marion Smits. Clin Cancer Res December 15 2019 (25) (24) 7455-7462; DOI: 10.1158/1078-0432.CCR-19-1127 Data includes trained SVM models, image features derived for all patients, labels for all patients, PCE models used to derive feature importance and segmentations made for the LGG-1p19qDeletion dataset from The Cancer Imaging Archive (https://wiki.cancerimagingarchive.net/display/Public/LGG-1p19qDeletion#a888d85b04c640eeaf802e12db2dc8ad)本数据集关联发表于《临床癌症研究（Clinical Cancer Research）》的论文《基于外部验证机器学习算法预测疑似低级别胶质瘤的1p/19q共缺失状态》。使用本数据集时，请引用如下文献： 《Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm》 作者：Sebastian R. van der Voort、Fatih Incekara、Maarten M.J. Wijnenga、Georgios Kapas、Mayke Gardeniers、Joost W. Schouten、Martijn P.A. Starmans、Rishie Nandoe Tewarie、Geert J. Lycklama、Pim J. French、Hendrikus J. Dubbink、Martin J. van den Bent、Arnaud J.P.E. Vincent、Wiro J. Niessen、Stefan Klein 与 Marion Smits 发表详情：《Clin Cancer Res》2019年12月15日，第25卷第24期，第7455-7462页；DOI: 10.1158/1078-0432.CCR-19-1127 本数据集包含以下内容：训练完成的支持向量机（SVM, Support Vector Machine）模型、所有患者的影像特征、所有患者的标注标签、用于推导特征重要性的PCE模型，以及针对癌症影像档案库（The Cancer Imaging Archive）公开的LGG-1p19qDeletion数据集生成的分割结果。该数据集附带的公开数据集链接为：https://wiki.cancerimagingarchive.net/display/Public/LGG-1p19qDeletion#a888d85b04c640eeaf802e12db2dc8ad

搜集汇总

背景与挑战

背景概述

该数据集用于预测低级别胶质瘤的1p/19q共缺失状态，包含训练好的SVM模型、患者图像特征、标签和PCE模型，支持机器学习算法的外部验证。数据集基于The Cancer Imaging Archive的LGG-1p19qDeletion数据集，适用于放射学、遗传学和机器学习研究，遵循CC BY 4.0许可证。