Welcome to Colon Cancer Histopathological (CoCaHis) Dataset website. Following guides, code, and files are supplementary materials to the research paper “A Dataset and a Methodology for Intraoperative Computer-Aided Diagnosis of a Metastatic Colon Cancer in a Liver”. The paper can be accessed at https://authors.elsevier.com/c/1cRLC6DBR2-DAz .
If you are using this paper or dataset for your research, please cite the following:
D. Sitnik, G. Aralica, M. Hadžija, M. Popović Hadžija, A. Pačić, M. Milković Periša, L. Manojlović, K. Krstanac, A. Plavetić, I. Kopriva, “A Dataset and a Methodology for Intraoperative Computer-Aided Diagnosis of a Metastatic Colon Cancer in a Liver,” Biomedical Signal Processing and Control, vol. 66, April 2021, article no. 102402. https://doi.org/10.1016/j.bspc.2020.102402
BibTeX:
@article{Sitnik2021cocahis,
title = "A dataset and a methodology for intraoperative computer-aided diagnosis of a metastatic colon cancer in a liver",
journal = "Biomedical Signal Processing and Control",
volume = "66",
pages = "102402",
year = "2021",
issn = "1746-8094",
doi = "https://doi.org/10.1016/j.bspc.2020.102402",
url = "http://www.sciencedirect.com/science/article/pii/S1746809420305085",
author = "Dario Sitnik and Gorana Aralica and Mirko Hadžija and Marijana Popović Hadžija and Arijana Pačić and Marija Milković Periša and Luka Manojlović and Karolina Krstanac and Andrija Plavetić and Ivica Kopriva"
}
To download the COCaHis dataset, please click HERE. Checksum:
MD5: 08fb7f767824de2aed8dd174d4b15ed7
The complete HDF5 dataset structure can be downloaded HERE. Checksum:
MD5: f57b606c724e2ee8c56bd2452e87a01b
Click on the following buttons to access a quick python tutorial for loading the database and visualizations for a sample image. Dependencies are h5py and matplotlib packages.