A histopathological image dataset for grading breast invasive ductal carcinomas
- Hamidreza Bolhasani,
Elham AmjadiPoursina Hakim Digestive Diseases Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.Pathology consultant
Maryam TabatabaeianAnahid Clinic of Breast Diseases, Isfahan, Iran.
Somayyeh Jafarali Jassbi
Somayyeh Jafarali JassbiScience and Research Branch Islamic Azad University, Tehran, Iran
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
- Selecting patients diagnosed with Invasive Ductal Carcinoma (IDC).
- Collecting H&E stained slides.
- Labeling specimens based on their grades.
- Microscopy imaging in four magnification level.
- Organizing the dataset.
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
The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.