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title | Data Access |
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| Data AccessData Type | Download all or Query/Filter | License |
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Images | , Segmentations, and Radiation Therapy Structures/Doses/Plans (DICOM, | XX22. | X 9 GB) | << latter two items only if DICOM SEG/RTSTRUCT/RTDOSE/PLAN exist >>
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/70230508/The%20Chinese%20Mammography%20Database.tcia |
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Tcia button generator |
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label | Search |
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url | https://nbia.cancerimagingarchive.net/nbia-search/?CollectionCriteria=CMMD |
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(Download requires the NBIA Data Retriever | )Tissue Slide Images (SVS, XX.X GB | | button | generator Tcia button generator |
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label | Search |
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Clinical data ( | CSVXLSX, 70 kB) | | Genomics (web) | Tcia button generator |
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label | Searchurl | https://wiki.cancerimagingarchive.net/download/attachments/70230508/CMMD_clinicaldata_revision.xlsx?api=v2 |
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Click the Versions tab for more info about data releases. Please contact help@cancerimagingarchive.net with any questions regarding usage. Nci_crdc additional resources |
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Please note, it has been discovered that the hashes for the pixels of the following seem to be identical. TCIA does not know which is the "more correct" case for the files mentioned: - D1-0202 (series UID ending with 31072, 1-1.dcm image) and D2-0284 (seriesUID ending with 98151, 1-1.dcm image)
- D1-0202 (series UID ending with 31072, 1-2.dcm image) and D2-0284 (seriesUID ending with 98151, 1-2.dcm image)
- D1-0202 (series UID ending with 31072, 1-3.dcm image) and D2-0284 (seriesUID ending with 98151, 1-3.dcm image)
- D1-0202 (series UID ending with 31072, 1-4.dcm image) and D2-0284 (seriesUID ending with 98151, 1-4.dcm image)
- D1-0808 (series UID ending with 62447, 1-1.dcm image) and D1-1292 (series UID ending with 65585, 1-1.dcm image)
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Localtab |
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title | Detailed Description |
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| Detailed DescriptionImage Statistics |
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Modalities | MG | Number of Patients | 1775 | Number of Studies | 1775 | Number of Series | 1775 | Number of Images | 5202 | Images Size (GB) |
<< Add any additional information as needed below. Likely would be something from site. >>- Mammography images were collected in .TIFF format and converted to DICOM.
- Clinical data are saved in .XLSX format. Note that for those rows where there exists BOTH a value for ID1 and ID2, TCIA image database stores ONLY the ID2 value as PatientID.
- For the D2-XXXX dataset, it is a dataset that only involves malignant tumors. Therefore, only one side of the clinical data is reasonable, such a situation shows that the other side is benign. We provided mammograms from both the left and right breast.
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Localtab |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policylicense-4-internationaltcia4-noncommercial Info |
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| DOI goes here. Create using Datacite with information from Collection Approval formCui, Chunyan; Li Li; Cai, Hongmin; Fan, Zhihao; Zhang, Ling; Dan, Tingting; Li, Jiao; Wang, Jinghua. (2021) The Chinese Mammography Database (CMMD): An online mammography database with biopsy confirmed types for machine diagnosis of breast. The Cancer Imaging Archive. DOI: https://doi.org/10.7937/tcia.eqde-4b16 |
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title | Publication Citation |
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| We ask on the proposal form if they have ONE traditional publication they'd like users to cite.Cai, H., Huang, Q., Rong, W., Song, Y., Li, J., Wang, J., Chen, J., & Li, L. (2019). Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms. Computational and Mathematical Methods in Medicine, 2019, 1–10. https://doi.org/10.1155/2019/2717454 |
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title | Acknowledgement | Publication Citation |
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| Wang, J., Yang, X., Cai, H., Tan, W., Jin, C., & Li, L. (2016). Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning. Scientific Reports, 6(1). https://doi.org/10.1038/srep27327Only if they ask for special acknowledgments like funding sources, grant numbers, etc in their proposal. |
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| 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, . Journal of Digital Imaging, Volume 26, Number (6, December, 2013, pp 1045-1057. DOI: ), 1045–1057. 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. |
Localtab |
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| Version X 1 (Current): Updated yyyy2021/mm04/dd06Data Type | Download all or Query/Filter |
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Images (DICOM, | xx22. | x 9 GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/70230508/The%20Chinese%20Mammography%20Database.tcia |
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| (Requires https://nbia.cancerimagingarchive.net/nbia-search/?CollectionCriteria=CMMD |
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(Download requires the NBIA Data Retriever | . | Clinical Data data (CSVXLSX)Link | Other (format) | |
<< One or two sentences about what you changed since last version. No note required for version 1. >> url | https://wiki.cancerimagingarchive.net/download/attachments/70230508/CMMD_clinicaldata_revision.xlsx?api=v2 |
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