Summary
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 Image AddedThis dataset consists of CT and PET-CT DICOM images of lung cancer subjects with XML Annotation files that indicate tumor location. The images were retrospectively acquired from patients with suspicion of lung cancer, and who underwent standard-of-care lung biopsy and PET/CT. The cases were confirmed by pathological diagnosis. The images were analyzed on the mediastinum (window width, 350 HU; level, 40 HU) and lung (window width, 1,400 HU; level, –700 HU) settings. The reconstructions were made in 2mm-slice-thick and lung settings. The CT slice interval varies from 0.625 mm to 5 mm. Scanning mode includes plain and contrast and 3D reconstruction. The location of the tumors were provided by five chest radiologists and two deep learning researchers in order to make this dataset a useful tool and resource for developing algorithms for medical diagnosis. The image annotations are saved as XML files in PASCAL VOC format, which can be parsed using the PASCAL Development Toolkit: https://pypi.org/project/pascal-voc-tools/. |
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Acknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection:
Drs. Huiping Han, Funing Yang and Rui Wang for their help collecting clinical data
The Computer Center and Cancer Institute at the Second Affiliated Hospital of Harbin Medical University in Harbin, Heilongjiang Province, China for their help collecting the image data
Beijing Municipal Administration of Hospital Clinical Medicine Development of Special Funding (ZYLX201511)
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| active | true |
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| title | Data Access |
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| Data Access| Data Type | Download all or Query/Filter |
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| Images (DICOM, 128.6 GB) | | | Annotation Files (XML, 14.62 MB) | |
Click the Versions tab for more info about data releases. Please contact help@cancerimagingarchive.net with any questions regarding usage. |
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| title | Detailed Description |
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| Detailed DescriptionImage Statistics |
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Modalities | CT,PT | Number of Patients | 363 | Number of Studies | 446 | Number of Series | 1208 | Number of Images | 21,3797 | | Images Size (GB) | 128.6 |
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| title | Citations & Data Usage Policy |
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| Citations & Data Usage PolicyAdd any special restrictions in here. These collections are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 4.0 International License. Questions may be directed to help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work: | Info |
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| DOI goes here. Create using Datacite with information from Collection Approval form |
| Info |
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| Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7 |
TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. |
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| Version 1 (Current): 2020/05/dd| Data Type | Download all or Query/Filter |
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| Images (DICOM, 128.6 GB) | | | Annotation Files (XML, 14.62 MB) | |
Added new subjects. |
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