A histopathological image dataset for grading breast invasive ductal carcinomas

Published: 24 June 2026| Version 2 | DOI: 10.17632/w7jjcx7gj6.2
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Description

This dataset presents a histopathological microscopic image collection comprising 922 images from 124 patients diagnosed with invasive ductal carcinoma (IDC). The dataset is publicly available online at: http://databiox.com. * A key distinguishing feature of this dataset is its balanced representation of the three histological grades of IDC (Grade I, Grade II, and Grade III), with approximately 50 specimens included for each grade. In addition, the images are captured at multiple magnification levels (4×, 10×, 20×, and 40×), enabling comprehensive multi-scale analysis of tumor morphology. ** For further details and citation, please refer to the associated publication: https://doi.org/10.1016/j.imu.2020.100341

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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.

Categories

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

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