10.5281/zenodo.53169
https://zenodo.org/records/53169
oai:zenodo.org:53169
Kather, Jakob Nikolas
Jakob Nikolas
Kather
Institute of Pathology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
Zöllner, Frank Gerrit
Frank Gerrit
Zöllner
Institute of Computer Assisted Clinical Medicine, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
Bianconi, Francesco
Francesco
Bianconi
Department of Engineering, University of Perugia, Perugia, Italy
Melchers, Susanne M
Susanne M
Melchers
Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
Schad, Lothar R
Lothar R
Schad
Institute of Computer Assisted Clinical Medicine, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
Gaiser, Timo
Timo
Gaiser
Institute of Pathology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
Marx, Alexander
Alexander
Marx
Institute of Pathology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
Weis, Cleo-Aron
Cleo-Aron
Weis
Institute of Pathology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
Collection of textures in colorectal cancer histology
Zenodo
2016
Histology
Texture Analysis
Colorectal Cancer
Image Database
Image Processing
Image Analysis
Histopathology
2016-05-26
Creative Commons Attribution 4.0 International
Content
This data set represents a collection of textures in histological images of human colorectal cancer. It contains two files:
"Kather_texture_2016_image_tiles_5000.zip": a zipped folder containing 5000 histological images of 150 * 150 px each (74 * 74 µm). Each image belongs to exactly one of eight tissue categories (specified by the folder name).
"Kather_texture_2016_larger_images_10.zip": a zipped folder containing 10 larger histological images of 5000 x 5000 px each. These images contain more than one tissue type.
Image format
All images are RGB, 0.495 µm per pixel, digitized with an Aperio ScanScope (Aperio/Leica biosystems), magnification 20x. Histological samples are fully anonymized images of formalin-fixed paraffin-embedded human colorectal adenocarcinomas (primary tumors) from our pathology archive (Institute of Pathology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany).
Ethics statement
All experiments were approved by the institutional ethics board (medical ethics board II, University Medical Center Mannheim, Heidelberg University, Germany; approval 2015-868R-MA). The institutional ethics board waived the need for informed consent for this retrospective analysis of anonymized samples. All experiments were carried out in accordance with the approved guidelines and with the Declaration of Helsinki.
More information / data usage
For more information, please refer to the following article. Please cite this article when using the data set.
Kather JN, Weis CA, Bianconi F, Melchers SM, Schad LR, Gaiser T, Marx A, Zollner F: Multi-class texture analysis in colorectal cancer histology (2016), Scientific Reports (in press)
Contact
For questions, please contact:
Dr. Jakob Nikolas Kather
http://orcid.org/0000-0002-3730-5348
ResearcherID: D-4279-2015