- Created by natasha honomichl, last modified by Tracy Nolan on May 26, 2023
Summary
Additional Notes
This collection has also been uploaded to the Harvard Blood Cancer Dataverse website. Please refer to DOI 10.7910/DVN/XCX7ST for more information.
Additional Publications using this dataset:
- Ritu Gupta, Pramit Mallick, Rahul Duggal, Anubha Gupta, and Ojaswa Sharma, "Stain Color Normalization and Segmentation of Plasma Cells in Microscopic Images as a Prelude to Development of Computer Assisted Automated Disease Diagnostic Tool in Multiple Myeloma," 16th International Myeloma Workshop (IMW), India, March 2017
Data Access
Data Type | Download all or Query/Filter | License |
---|---|---|
Images (BMP, 1.27GB) | (Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) | |
Annotated plasma cell images (PDF) |
Click the Versions tab for more info about data releases.
Detailed Description
Image Statistics | |
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Modalities | Pathology |
Number of Participants | 5 |
Number of Studies | 5 |
Number of Images | 85 |
Images Size (GB) | 1.27 |
Citations & Data Usage Policy
Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:
Data Citation
Gupta, R., & Gupta, A. (2019). MiMM_SBILab Dataset: Microscopic Images of Multiple Myeloma [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/tcia.2019.pnn6aypl
Publication Citation
Gupta, A., Duggal, R., Gehlot, S., Gupta, R., Mangal, A., Kumar, L., Thakkar, N., & Satpathy, D. (2020). GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images. Medical Image Analysis, 65, 101788. https://doi.org/10.1016/j.media.2020.101788
Publication Citation
Gupta, A., Mallick, P., Sharma, O., Gupta, R., & Duggal, R. (2018). PCSeg: Color model driven probabilistic multiphase level set based tool for plasma cell segmentation in multiple myeloma. PLOS ONE, 13(12), e0207908. https://doi.org/10.1371/journal.pone.0207908
TCIA 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. Journal of Digital Imaging, 26(6), 1045–1057. 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 TCIA's Helpdesk.
Version 1 (Current): Updated 2019/03/25
Data Type | Download all or Query/Filter |
---|---|
Images (BMP, 1.27GB) | (Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) |
Annotated plasma cell images (PDF) |
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