Bioimaging Challenge 2015 Breast Histology Dataset

This dataset contains breast histology images from four classes: normal, benign, in situ carconima and invasive carcinoma. A trained Convolutional Neural Network for the classification of these images is also available. To access the dataset please request your password via the link bioimglab.inesctec.pt/?page_id=893 and fill the form.

Users of this dataset should cite the following article: Teresa Araújo, Guilherme Aresta, Eduardo Castro, José Rouco, Paulo Aguiar, Catarina Eloy, António Polónia, and Aurélio Campilho, Classification of Breast Cancer Histology Images Using Convolutional Neural Networks, PLOS ONE, 2017. Available at: doi.org/10.1371/journal.pone.0177544 Please also refer the link of the dataset download page (this page): rdm.inesctec.pt/dataset/nis-2017-003 In addition, we appreciate to hear about any publications that use this dataset.