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  • Segmentation and Classification of Grade I and II Meningiomas from Magnetic Resonance Imaging: An Open Annotated Dataset (Meningioma-SEG-CLASS)

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Localtab Group


Localtab
activetrue
titleData Access

Data Access

Tcia head license access

Data TypeDownload all or Query/FilterLicense

Images, Segmentations, and Radiation Therapy Structures (DICOM, 9.0 GB)



Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/133071972/Meningioma%20SEG%20Class%20February%202022%20manifest.tcia?api=v2



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labelSearch
urlhttps://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=Meningioma-SEG-CLASS



(Download requires NBIA Data Retriever)

Tcia restricted license

Clinical data (CSV)


Tcia button generator
urlI think all that remains before publication Confirmation that that data are as expected and no concerns. WIKI page updates/confirmation that the WIKI page is correct (I think the summary might need review). If you like, provide an image for the WIKI page.



Tcia cc by 4


Click the Versions tab for more info about data releases.



Localtab
titleDetailed Description

Detailed Description

Image Statistics

Radiology Image Statistics

Modalities

MR, RTSTRUCT

Number of Patients

96

Number of Studies

180

Number of Series

674

Number of Images

47520

Images Size (GB)9 GB



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Tcia limited license policy

Info
titleData Citation



Info
titlePublication Citation

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


Info
titleTCIA Citation

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 Data

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.


Localtab
titleVersions

Version 1 (Current): Updated 2023/mm/dd

Data TypeDownload all or Query/FilterLicense

Images, Segmentations, and Radiation Therapy Structures (DICOM, 9.0 GB)



Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/133071972/Meningioma%20SEG%20Class%20February%202022%20manifest.tcia?api=v2



Tcia button generator
labelSearch
urlhttps://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=Meningioma-SEG-CLASS


(Download requires the NBIA Data Retriever)

Tcia restricted license


Clinical data (CSV)


Tcia button generator



Tcia cc by 4



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