A histopathological image dataset for grading breast invasive ductal carcinomas

Published: 3 Feb 2020 | Version 1 | DOI: 10.17632/w7jjcx7gj6.1

Description of this data

In this dataset, a histopathological microscopy image dataset of 922 images related to 124 patients with IDC is introduced. This dataset is published and accessible through web via: http://databiox.com. What makes this dataset distinct from the similar ones is that it contains equal number of specimens from each three grades of IDC, which led to around 50 specimens for each grade.

Experiment data files

Steps to reproduce

  1. Selecting patients diagnosed with Invasive Ductal Carcinoma (IDC).
  2. Collecting H&E stained slides.
  3. Labeling specimens based on their grades.
  4. Microscopy imaging in four magnification level.
  5. Organizing the dataset.

Latest version

  • Version 1


    Published: 2020-02-03

    DOI: 10.17632/w7jjcx7gj6.1

    Cite this dataset

    Bolhasani, Hamidreza; Amjadi, Elham; Tabatabaeian, Maryam; Jafarali Jassbi, Somayyeh (2020), “A histopathological image dataset for grading breast invasive ductal carcinomas”, Mendeley Data, v1 http://dx.doi.org/10.17632/w7jjcx7gj6.1


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Breast Cancer, Histopathology, Carcinoma, Breast Cancer Subtyping, Image Analysis (Medical Imaging)


CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

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