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  • Digital pathological slides from Hungarian colorectal cancer screening (Hungarian-Colorectal-Screening)

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Summary

In this study, 200 digital whole-slide images are published which were collected via hematoxylin-eosin stained colorectal biopsy. This dataset contains the raw MIRAX (mrxs) formatted data. The samples were selected from the archives of the 2nd Department of Pathology of Semmelweis University, Budapest and were scanned with a 3DHistech Pannoramic 1000 Digital Slide Scanner at the highest available, 40x magnification. This is a single center dataset ensuring consequent and homogeneous data processing and patient handling. The related publication shows, how these data can be utilized for train an artificial neural network in order to detect pathological conditions.

Acknowledgements

The research was financed by the Thematic Excellence Programme (Tématerületi Kiválósági Program, 2020-4.1.1.-TKP2020) of the Ministry for Innovation and Technology in Hungary, within the framework of the DigitalBiomarker thematic programme of the Semmelweis University. This work was supported by the National Research, Development and Innovation Office of Hungary grants OTKA 128881 and K128780, the National Quantum Technologies Program and the Hungarian Artificial Intelligence National Laboratory.

Data Access

Data TypeDownload all or Query/Filter
Tissue Slide Images (MRXS, 392 GB)

Clinical data (CSV)

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Detailed Description

Image Statistics


Modalities

Pathology

Number of Patients

200

Number of Images

200

Images Size (GB)392

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Citations & Data Usage Policy

Users of this data must abide by the TCIA Data Usage Policy and the Creative Commons Attribution 4.0 International License under which it has been published. Attribution should include references to the following citations:

Data Citation

currently in draft mode

https://doi.org/10.7937/tcia.9cjf-0127

Publication Citation

The related manuscript is under submission to Sci.Data.

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. 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.

Version 1 (Current): Updated 2021/06/07

Data TypeDownload all or Query/Filter
Images (MRXS, 392 GB)

Clinical Data (CSV)




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