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  • AI-ready restained and co-registered multiplex dataset for head-and-neck carcinoma (HNSCC-mIF-mIHC-comparison)

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Localtab Group


Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/FilterLicense
Tissue Slide Images (PNG, 1.01 GB)


Tcia button generator
urlhttps://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/419?passcode=c99ddb3c1951b94e9664cb35a092b76637664638


(Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) 

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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


Pathology Image Statistics

Modalities

Pathology

Number of Subjects

8

Number of Images

3216

Images Size (GB)1.01



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Tcia limited license policy

Info
titleData Citation

Ghahremani, 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


Info
titlePublication Citation

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 (Version 1). arXiv. https://doi.org/10.48550/ARXIV.2305.16465


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 2 (Current): Updated 2023/08/31

Data TypeDownload all or Query/FilterLicense
Tissue Slide Images (PNG, 1.01 GB)


Tcia button generator
urlhttps://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/419?passcode=c99ddb3c1951b94e9664cb35a092b76637664638


(Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) 

Tcia cc by 4

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 2020/06/04

Data TypeDownload all or Query/Filter
Tissue Slide Images (TIFF, IM3, 8.96 GB)


Tcia button generator
urlhttps://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/74?passcode=56970ac8fccfb0cdb926271492d7f3ab3ea8721c



Tcia button generator
labelSearch
urlhttps://pathdb.cancerimagingarchive.net/imagesearch?f[0]=collection:hnscc_mif_mihc_comparison



(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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