  Automatization of the diagnosis of any kind of disease is of great importance
and it's gaining speed as more and more deep learning solutions are applied to
different problems. One of such computer aided systems could be a decision
support too able to accurately differentiate between different types of breast
cancer histological images - normal tissue or carcinoma. In this paper authors
present a deep learning solution, based on convolutional capsule network for
classification of four types of images of breast tissue biopsy when hematoxylin
and eusin staining is applied. The cross-validation accuracy was achieved to be
0.87 with equaly high sensitivity.
