Data AccessData Type | Download all or Query/Filter | License |
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Tissue Slide Images (PNG, 1.01 GB) |
(Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) | |
Click the Versions tab for more info about data releases. Additional Resources for this DatasetPlease contact help@cancerimagingarchive.net with any questions regarding usage. |
Detailed Description
| Pathology Image Statistics |
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Modalities | Pathology | Number of Subjects | 8 | Number of Images | 3216 | Images Size (GB) | 1.01 |
Version 2 of dataset replaced title, summary, acknowledgements, and publication citation with new information. These entries for version 1 dataset may be accessed here. |
Citations & Data Usage PolicyGhahremani, P., Marino, J., Hernandez-Prera, J., de la Iglesia, J. V., Slebos, R. J., Chung, C. H., & Nadeem, S. (2023). AI-ready re-stained and co-registered multiplex dataset for head-and-neck carcinoma (HNSCC-mIF-mIHC-comparison) (Version 2) [dataset]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.2020.T90F-WB82 |
Ghahremani, P., Marino, J., Hernandez-Prera, J., de la Iglesia, J. V., Slebos, R. J., Chung, C. H., & Nadeem, S. (2023). An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment. In: H. Greenspan et al. (eds.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. MICCAI 2023. Lecture Notes in Computer Science, vol 14225, pp. 1–10, 2023. Springer, Cham. https://doi.org/10.1007/978-3-031-43987-2_68. |
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 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. |
Version 2 (Current): Updated 2023/08/31Data Type | Download all or Query/Filter | License |
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Tissue Slide Images (PNG, 1.01 GB) |
(Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) | |
Version 2 dataset modifications: (1) 35 channels by human error in conversion in the version 1 dataset were corrected. (2) Non-standard im3 format, that is not supported by most platforms/viewers, images were replaced with png format. (3) A lot of images in the multiplex IHC folder were not from the same ROI as the hematoxylin/AEC. Names/labels for all the files were corrected to address this. (4) Grayscale images which do not allow to analyze the original AEC/Hematoxylin colored images, so original-colored images were added. (5) Intensity concordance study was difficult with the old version since the images across AEC/mpIF were not perfectly co-registered. Images are now perfectly co-registered to address this. (6) The original focus was not on the AI-ready datasets. In this version, we release an AI-ready dataset that should work out-of-the-box for multiple tasks using the SOTA deep learning algorithms. Version 1: Updated 2020/06/04Data Type | Download all or Query/Filter |
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Tissue Slide Images (TIFF, IM3, 8.96 GB) | (Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) |
Version 2 of dataset replaced title, summary, acknowledgements, and publication citation with new information. These entries for version 1 dataset may be accessed here. |
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