Data AccessData Type | Download all or Query/Filter | License |
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Images and Radiation Therapy Structures (DICOM, 9.0 GB)
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(Download requires NBIA Data Retriever) | | Clinical data (CSV, 20 kB) | | |
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Detailed DescriptionImage Statistics | Radiology Image Statistics |
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Modalities | MR, RTSTRUCT | Number of Patients | 96 | Number of Studies | 180 | Number of Series | 674 | Number of Images | 47520 | Images Size (GB) | 9 GB |
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Citations & Data Usage PolicyVassantachart, A., Cao, Y., Shen, Z., Cheng, K., Gribble, M., Ye, J. C., Zada, G., Hurth, K., Mathew, A., Guzman, S., & Yang, W. (2023). Segmentation and Classification of Grade I and II Meningiomas from Magnetic Resonance Imaging: An Open Annotated Dataset (Meningioma-SEG-CLASS) (Version 1) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/0TKV-1A36 |
Vassantachart, A., Cao, Y., Gribble, M., Guzman, S., Ye, J. C., Hurth, K., Mathew, A., Zada, G., Fan, Z., Chang, E. L., & Yang, W. (2022). Automatic differentiation of Grade I and II meningiomas on magnetic resonance image using an asymmetric convolutional neural network. In Scientific Reports (Vol. 12, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1038/s41598-022-07859-0 |
Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7 |
Other Publications Using This DataTCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. |
Version 1 (Current): Updated 2023/02/13Data Type | Download all or Query/Filter | License |
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Images, Segmentations, and Radiation Therapy Structures (DICOM, 9.0 GB)
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(Download requires the NBIA Data Retriever) | | Clinical data (CSV) | | |
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