Faculdade de Engenharia da Universidade do Porto

About: Faculdade de Engenharia da Universidade do Porto is a based out in . It is known for research contribution in the topics: Finite element method & Fracture mechanics. The organization has 1669 authors who have published 3080 publications receiving 92812 citations. The organization is also known as: FEUP & Faculty of Engineering of University of Porto.

Classification of breast cancer histology images using Convolutional Neural Networks

Abstract: Breast cancer is one of the main causes of cancer death worldwide The diagnosis of biopsy tissue with hematoxylin and eosin stained images is non-trivial and specialists often disagree on the final diagnosis Computer-aided Diagnosis systems contribute to reduce the cost and increase the efficiency of this process Conventional classification approaches rely on feature extraction methods designed for a specific problem based on field-knowledge To overcome the many difficulties of the feature-based approaches, deep learning methods are becoming important alternatives A method for the classification of hematoxylin and eosin stained breast biopsy images using Convolutional Neural Networks (CNNs) is proposed Images are classified in four classes, normal tissue, benign lesion, in situ carcinoma and invasive carcinoma, and in two classes, carcinoma and non-carcinoma The architecture of the network is designed to retrieve information at different scales, including both nuclei and overall tissue organization This design allows the extension of the proposed system to whole-slide histology images The features extracted by the CNN are also used for training a Support Vector Machine classifier Accuracies of 778% for four class and 833% for carcinoma/non-carcinoma are achieved The sensitivity of our method for cancer cases is 956%