A histopathological image dataset for grading breast invasive ductal carcinomas

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

    2020-02-03

    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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Categories

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

Licence

CC BY 4.0 Learn more

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

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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