BreakHis

Breast Cancer Histopathological Database

Dataset Information
Modalities
Images, Medical
License
Unknown
Homepage
Official Website
Contents

Overview

The Breast Cancer Histopathological Image Classification (BreakHis) is composed of 9,109 microscopic images of breast tumor tissue collected from 82 patients using different magnifying factors (40X, 100X, 200X, and 400X). It contains 2,480 benign and 5,429 malignant samples (700X460 pixels, 3-channel RGB, 8-bit depth in each channel, PNG format). This database has been built in collaboration with the P&D Laboratory - Pathological Anatomy and Cytopathology, Parana, Brazil.

Paper: F. A. Spanhol, L. S. Oliveira, C. Petitjean and L. Heutte, "A Dataset for Breast Cancer Histopathological Image Classification," in IEEE Transactions on Biomedical Engineering, vol. 63, no. 7, pp. 1455-1462, July 2016, doi: 10.1109/TBME.2015.2496264

Source: https://web.inf.ufpr.br/vri/databases/breast-cancer-histopathological-database-breakhis/

Image Source: https://web.inf.ufpr.br/vri/databases/breast-cancer-histopathological-database-breakhis/

Variants: BreakHis

Associated Benchmarks

This dataset is used in 2 benchmarks:

Recent Benchmark Submissions

Task Model Paper Date
Image Classification WaveMix Which Backbone to Use: A … 2024-06-09
Breast Cancer Histology Image Classification WaveMix Which Backbone to Use: A … 2024-06-09
Image Classification WaveMix-224/10 Magnification Invariant Medical Image Analysis: … 2023-02-22
Breast Cancer Histology Image Classification WaveMixLite-224/10 Magnification Invariant Medical Image Analysis: … 2023-02-22
Breast Cancer Histology Image Classification EfficientNet-b2 Magnification Prior: A Self-Supervised Method … 2022-03-15

Research Papers

Recent papers with results on this dataset:

External Links: