Table 6 Comparison with other breast Cancer datasets.
Dataset Name | Image Type | No. of Images | Magnification | Data Source | Key Characteristics |
|---|---|---|---|---|---|
Breast Histopathology Images | Histopathology slides | 277,524 patches | 40× magnification | Kaggle (BreakHis) | Contains benign and malignant images at high resolution |
BreakHis Dataset | Histopathology slides | 7,909 images | 40×, 100×, 200×, 400× | Public hospitals | Multi-scale resolution dataset, used for breast tumor classification |
INbreast Dataset | Mammograms | 410 images | Varies | Portuguese hospitals | Contains full-field digital mammograms, used for mass detection |
MIAS Dataset | Mammograms | 322 images | 50-micron pixel size | UK Research Dataset | Early-stage breast cancer detection dataset |
BACH Dataset | Histopathology slides | 400 images | 10×, 20×, 40× | International dataset | Annotated dataset with benign, malignant, and normal tissue |
DDSM Dataset | Mammograms | 2,500 images | Varies | US Clinical Data | Digital Database for Screening Mammography, widely used in CAD studies |
