The Cancer Imaging Archive (TCIA) Public Access

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  • The authors of this dataset thank the volunteers from the School of Computer Science and Engineering, South China University of Technology for assisting to tidy the clinical and imaging data. This work was supported by the grant from the National Natural Science Foundation of China (no.61771007).

  • This work was partially supported by the Key-Area Research and Development of Guangdong Province under Grant (2020B010166002, 2020B1111190001), the National Natural Science Foundation of China (61472145, 61771007), Guangdong Natural Science Foundation (2017A030312008), and the Health & Medical Collaborative Innovation Project of Guangzhou City (201803010021, 202002020049).
Localtab Group


Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/Filter

Images (DICOM, XX.X GB)

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labelSearch

(Download requires the NBIA Data Retriever)

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

Tcia license 4 international


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: 

(coming soon)


Info
titlePublication Citation

Hongmin Cai, 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 

Jinhua Wang, Xi Yang, Hongmin Cai, Wanchang Tan, Cangzheng Jin ,  Li Li.  Discrimination of breast cancer with microcalcifications on mammography by deep learning. Scientific Reports 6, 27327–27327 (2016). 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

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

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

Tcia button generator

Tcia button generator
labelSearch

(Requires NBIA Data Retriever.)



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