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  • SAROS - A large, heterogeneous, and sparsely annotated segmentation dataset on CT imaging data (SAROS)

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Localtab Group


Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/FilterLicense
SAROS Segmentations (NIfTI) 


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(Download requires Aspera plugin)

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Segmentation Information Spreadsheet (CSV)


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urlhttps://wiki.cancerimagingarchive.net/download/attachments/157287899/Segmentation%20Info.csv?api=v2



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Click the Versions tab for more info about data releases.

Collections Used in this Third Party Analysis

Below is a list of the Collections used in these analyses:

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Source DataDownload all or Query/FilterLicense

Source Images (DICOM, XX.X GB)

ACRIN-HNSCC-FDG-PET/CT (48), Anti-PD-1_MELANOMA (2), HNSCC (17), Head-Neck Cetuximab (12), QIN-HEADNECK (94)


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(Download requires NBIA Data Retriever)

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Source Images (DICOM, XX.X GB)

ACRIN-FLT-Breast (32), ACRIN-NSCLC-FDG-PET (129), Anti-PD-1_Lung (12), C4KC-KiTS (175), CPTAC-CM (1), CPTAC-LSCC (3), CPTAC-LUAD (1), CPTAC-PDA (8), CPTAC-UCEC (26), LIDC-IDRI (133), NSCLC Radiogenomics (7), Pancreas-CT (58), Soft-tissue-Sarcoma (6), TCGA-LIHC (33), TCGA-LUAD (2), TCGA-LUSC (3), TCGA-STAD (2), TCGA-UCEC (1)


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(Download requires NBIA Data Retriever)

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Source Images (DICOM, XX.X GB)

NSCLC-Radiomics (56), NSCLC-Radiomics-Genomics (20)


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(Download requires NBIA Data Retriever)

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Source Images (DICOM, XX.X GB)

COVID-19-NY-SBU (1), Lung-PET-CT-Dx (17)


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(Download requires NBIA Data Retriever)


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Source Data Type

Search

License

ACRIN-FLT-Breast (32), ACRIN-HNSCC-FDG-PET/CT (48), ACRIN-NSCLC-FDG-PET (129), Anti-PD-1_Lung (12), Anti-PD-1_MELANOMA (2), C4KC-KiTS (175), CPTAC-CM (1), CPTAC-LSCC (3), CPTAC-LUAD (1), CPTAC-PDA (8), CPTAC-UCEC (26), HNSCC (17), Head-Neck Cetuximab (12), LIDC-IDRI (133), Lung-PET-CT-Dx (17), NSCLC Radiogenomics (7), NSCLC-Radiomics (56), NSCLC-Radiomics-Genomics (20), Pancreas-CT (58), QIN-HEADNECK (94), Soft-tissue-Sarcoma (6), TCGA-HNSC (1),


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(note to curator:  check the original collection for its DICOM license)

Corresponding Original Images from,TCGA-LIHC , TCGA-LUAD , TCGA-LUSC , TCGA-STAD. TCGA-UCEC


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(note to curator:  check the original collection for its DICOM license)

, COVID-19-NY-SBU


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(note to curator:  check the original collection for its DICOM license)



Localtab
titleDetailed Description

Detailed Description

Image Statistics

Radiology Image Statistics

Modalities

NIfTI

Number of Patients

882

Number of Studies

894

Number of Series

900

Number of Images

1800

Images Size (GB)490.10 GB14



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

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Info
titleData Citation

DOI goes here. Create using Datacite with information from Collection Approval form


Info
titlePublication Citation

We ask on the proposal form if they have ONE traditional publication they'd like users to cite.


Info
titleAcknowledgement

Required acknowledgements only (ex:The CPTAC program requests that publications using data from this program...). If they just want to thank someone, that goes in the Acknowledgement section underneath the Summary.


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/Doses/Plans (DICOM, XX.X GB)

<< latter two items only if DICOM SEG/RTSTRUCT/RTDOSE/PLAN exist >>


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labelSearch


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Nctn_with_collab license only

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Tissue Slide Images (SVS, XX.X GB)


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labelSearch



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Clinical data (CSV)


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