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activetrue
titleData Access

Data Access

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Genomics (web)
Data TypeDownload all or Query/Filter

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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Tissue Slide Images (SVS, XX.X GB

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Clinical data (CSV)
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Inclusion-Exclusion criteria (pdf)

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urlhttps://wiki.cancerimagingarchive.net/download/attachments/70230508/CMMD_Inclusion_Exclusion_criteria.pdf

Click the Versions tab for more info about data releases.

Please contact help@cancerimagingarchive.net  with any questions regarding usage.


Localtab
titleDetailed Description

Detailed Description

Image Statistics


Modalities

MG

Number of Patients

1775

Number of Studies


Number of Series


Number of Images

3728

Images Size (GB)
  • Mammography images were collected in .TIFF format.
  • Clinical data are saved in .CSV format
  • laterality and view in a CSV to facilitate our conversion to DICOM



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

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Info
titleData Citation

Cui, Chunyan; Li Li; Cai, Hongmin; Fan, Zhihao; Zhang, Ling; Dan, Tingting; Li, Jiao; Wang, Jinghua. (2020) The Chinese Mammography Database (CMMD): An online mammography database with biopsy confirmed types for machine diagnosis of breast. The Cancer Imaging Archive. DOI: 

DOI goes here. Create using Datacite with information from Collection Approval form(coming soon)


Info
titlePublication Citation

Hongmin Cai, H. et al. , Qinjian Huang, Wentao Rong, Yan Song, Jiao Li, Jinhua Wang, Jiazhou Chen, Li Li. Breast microcalcification diagnosis using deep convolutional neural network from digital mammograms. Computational and Mathematical Methods in Medicine 2019, 2717454 (2019). DOI: 10.1155/2019/2717454 

Only if they ask for special acknowledgments like funding sources, grant numbers, etc in their proposal.

Jinhua Wang, J. et al. Xi YangHongmin CaiWanchang TanCangzheng Jin ,  Li Li.  Discrimination of breast cancer with microcalcifications on mammography by deep learning. Scientific Reports 6, 27327–27327 (2016).

Info
titleAcknowledgement

DOI: 10.1038/srep27327


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. 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

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

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1 (Current): Updated yyyy/mm/dd

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Data TypeDownload all or Query/Filter
Images (DICOM, xx.x GB)

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(Requires NBIA Data Retriever.)

Clinical Data (CSV)Link
Other (format

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