A Dataset for Breast Cancer Histopathological Image Classification

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, making it difficult to compare the methods. In this paper, we introduce a dataset of 7909 breast cancer histopathology images acquired on 82 patients, which is now publicly available from http://web.inf.ufpr.br/vri/breast-cancer-database. The dataset includes both benign and malignant images. The task associated with this dataset is the automated classification of these images in two classes, which would be a…

• CD
  Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

  Award: #263/2014
• CN
  Conselho Nacional de Desenvolvimento Científico e Tecnológico

  Award: #301653/2011-9