A Dataset for Breast Cancer Histopathological Image Classification

• Published in: IEEE transactions on biomedical engineering Vol. 63; no. 7; pp. 1455 - 1462
• Main Authors: Spanhol, Fabio A., Oliveira, Luiz S., Petitjean, Caroline, Heutte, Laurent
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.07.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); Institute of Electrical and Electronics Engineers
• Subjects: Artificial Intelligence; Automation; Biopsy; Breast; Breast - diagnostic imaging; Breast cancer; Breast Neoplasms - diagnostic imaging; Cancer; Classification; Computer Science; Databases, Factual; Datasets; Feature extraction; Female; Histocytochemistry; Histograms; Histopathology; Humans; Image classification; Image Interpretation, Computer-Assisted - methods; Malignant tumors; Mammography; Medical; Medical imaging; Medical research; Microscopy; Patients; Researchers; Tasks; histopathology; Breast cancer; image classification; medical imaging

Today, medical image analysis papers require solid experiments to prove the usefulness of proposed methods. However, experiments are often performed on data selected by the researchers, which may come from different institutions, scanners, and populations. Different evaluation measures may be used,...