Published May 18, 2021 | Version 1.0.0
Dataset Open

Infrared Chemical Image of a Breast Cancer Tissue Microarray

  • 1. University of Manchester

Description

This data set relates to an open access paper published in Analyst Exploring AdaBoost and Random Forests machine learning approaches for infrared pathology on unbalanced data sets by Jiayi Tang, Alex Henderson* and Peter Gardner. https://doi.org/10.1039/D0AN02155E

The files in this archive are mid-infrared spectroscopy chemical images of a breast cancer tissue microarray. The tissue microarray is BR20832 from Biomax. http://www.biomax.us/tissue-arrays/Breast/BR20832

Processed versions of these data in MATLAB file format can be found in another Zenodo archive at https://doi.org/10.5281/zenodo.4730312

This processed data refers to a paper published in Analyst

Notes

These data support the journal article "Exploring AdaBoost and Random Forests machine learning approaches for infrared pathology on unbalanced data sets" https://doi.org/10.1039/D0AN02155E. The processed data for the article is available on Zenodo at https://doi.org/10.5281/zenodo.4730312

Files

BR20832.csv

Files (181.0 GB)

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Additional details

Related works

Is source of
Dataset: 10.5281/zenodo.4730312 (DOI)