BreakHis
Breast Cancer Histopathological Database
ImagesMedical
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.
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/
Benchmarks
Breast Cancer Histology Image Classification/Accuracy (%)Breast Cancer Histology Image Classification/1:1 AccuracyBreast Cancer Histology Image Classification/Accuracy (Inter-Patient)Cancer/1:1 AccuracyCancer/Accuracy (%)Cancer/Accuracy (Inter-Patient)Image Classification/Average Test Accuracy over all magnificationsImage Retrieval/Average PrecisionMedical Image Analysis/Average Precision