BreakHis - Breast Cancer Histopathological Database
Published: 21 June 2023| Version 1 | DOI: 10.17632/jxwvdwhpc2.1
Contributor:
Mayke PereiraDescription
This dataset was created to be used in machine learning tasks for both binary and multiclass classification problems. It consists of 7,909 microscopic images of breast tumor tissue, captured using different magnification factors (40X, 100X, 200X, and 400X). The images in this dataset were resized to 224x224 pixels and organized according to binary and multiclass classification tasks.
Files
Steps to reproduce
The images were acquired, resized in 224x224 and stored in a folder structure, taking into account the binary and multiclass classification tasks, as well as the available magnifications.
Institutions
Instituto Federal de Educacao Ciencia e Tecnologia do Espirito Santo
Categories
Breast Cancer, Machine Learning, Histopathology, Mathematical Morphology