DICOM converted Slide Microscopy images for the ICDC-Glioma collection

This dataset corresponds to a collection of images and/or image-derived data available from National Cancer Institute Imaging Data Commons (IDC) [1]. This dataset was converted into DICOM representation and ingested by the IDC team. You can explore and visualize the corresponding images using IDC Portal here: ICDC-Glioma. You can use the manifests included in this Zenodo record to download the content of the collection following the Download instructions below. Collection description ICDC-Glioma contains treatment-naïve naturally-occurring canine glioma participants from the Integrated Canine Data Commons . Brain radiology (57/81 participant animals) and H&E-stained biopsy or necropsy pathology (76/81 participants) are classified by veterinary and physician neuropathologists. Please see the wiki ICDC-Glioma to learn more about the images and to obtain any supporting metadata for this collection. Files included A manifest file's name indicates the IDC data release in which a version of collection data was first introduced. For example, collection_id-idc_v8-aws.s5cmd corresponds to the contents of the collection_id collection introduced in IDC data release v8. If there is a subsequent version of this Zenodo page, it will indicate when a subsequent version of the corresponding collection was introduced. icdc_glioma-idc_v15-aws.s5cmd: manifest of files available for download from public IDC Amazon Web Services buckets icdc_glioma-idc_v15-gcs.s5cmd: manifest of files available for download from public IDC Google Cloud Storage buckets icdc_glioma-idc_v15-dcf.dcf: Gen3 manifest (for details see https://learn.canceridc.dev/data/organization-of-data/guids-and-uuids) Note that manifest files that end in -aws.s5cmd reference files stored in Amazon Web Services (AWS) buckets, while -gcs.s5cmd reference files in Google Cloud Storage. The actual files are identical and are mirrored between AWS and GCP. Download instructions Each of the manifests include instructions in the header on how to download the included files. To download the files using .s5cmd manifests: install idc-index package: pip install --upgrade idc-index download the files referenced by manifests included in this dataset by passing the .s5cmd manifest file: idc download manifest.s5cmd. To download the files using .dcf manifest, see manifest header. Acknowledgments Imaging Data Commons team has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under Task Order No. HHSN26110071 under Contract No. HHSN261201500003l. References [1] Fedorov, A., Longabaugh, W. J. R., Pot, D., Clunie, D. A., Pieper, S. D., Gibbs, D. L., Bridge, C., Herrmann, M. D., Homeyer, A., Lewis, R., Aerts, H. J. W., Krishnaswamy, D., Thiriveedhi, V. K., Ciausu, C., Schacherer, D. P., Bontempi, D., Pihl, T., Wagner, U., Farahani, K., Kim, E. & Kikinis, R. National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence. RadioGraphics (2023). https://doi.org/10.1148/rg.230180本数据集包含可从美国国家癌症研究所成像数据共享库（National Cancer Institute Imaging Data Commons, IDC）[1]获取的图像及图像衍生数据。本数据集已被转换为DICOM（医学数字成像与通信标准）格式，并由IDC团队完成数据入库。您可通过IDC门户访问ICDC-胶质瘤页面，探索并可视化对应图像。您可借助本Zenodo记录中包含的清单文件，按照下方的下载指南下载该数据集的全部内容。 数据集说明 ICDC-胶质瘤数据集包含来自整合式犬类数据共享库的未经治疗的自发犬胶质瘤受试动物。其中，57/81只受试动物具备脑部放射影像数据，76/81只受试动物具备苏木精-伊红（Hematoxylin-Eosin, H&E）染色的活检或尸检病理样本数据，上述数据均由兽医病理学家与神经病理医师完成分类。请访问ICDC-胶质瘤维基页面，了解本数据集图像的详细信息，并获取相关辅助元数据。 包含文件 清单文件的文件名可标识该数据集版本首次发布的IDC数据发布版本。例如，collection_id-idc_v8-aws.s5cmd对应于IDC数据发布版本v8中首次推出的collection_id数据集的内容。若本Zenodo页面存在后续版本，该版本将注明对应数据集后续版本的发布时间。 icdc_glioma-idc_v15-aws.s5cmd：用于从IDC公共亚马逊云服务（AWS）存储桶下载文件的清单文件 icdc_glioma-idc_v15-gcs.s5cmd：用于从IDC公共谷歌云存储（GCS）存储桶下载文件的清单文件 icdc_glioma-idc_v15-dcf.dcf：Gen3清单文件（详细信息请参阅https://learn.canceridc.dev/data/organization-of-data/guids-and-uuids） 请注意，以-aws.s5cmd结尾的清单文件对应存储于亚马逊云服务（AWS）存储桶中的文件，而以-gcs.s5cmd结尾的清单文件对应谷歌云存储（GCS）中的文件。实际文件内容完全一致，且在AWS与GCP之间实现了镜像同步。 下载指南 所有清单文件的头部均包含所附文件的下载说明。 使用.s5cmd格式清单文件下载文件： 1. 安装idc-index工具包：执行命令pip install --upgrade idc-index 2. 通过指定.s5cmd清单文件，下载本数据集中清单所引用的文件：idc download manifest.s5cmd 若使用.dcf格式清单文件下载文件，请查阅清单文件头部的说明。 致谢 成像数据共享库团队的研究经费全部或部分来源于美国国家癌症研究所与美国国立卫生研究院提供的联邦拨款，相关任务订单编号为HHSN26110071，合同编号为HHSN261201500003l。 参考文献 [1] Fedorov, A., Longabaugh, W. J. R., Pot, D., Clunie, D. A., Pieper, S. D., Gibbs, D. L., Bridge, C., Herrmann, M. D., Homeyer, A., Lewis, R., Aerts, H. J. W., Krishnaswamy, D., Thiriveedhi, V. K., Ciausu, C., Schacherer, D. P., Bontempi, D., Pihl, T., Wagner, U., Farahani, K., Kim, E. & Kikinis, R. 美国国家癌症研究所成像数据共享库：推动影像人工智能的透明性、可重复性与可扩展性. 放射影像学(RadioGraphics), 2023. https://doi.org/10.1148/rg.230180