Deep Learning Techniques For Breast Cancer Histopathological Images: A Pilot Study

Abstract

On account of deep learning techniques, a drastic change is being experienced in the literature of medical image analysis. Application of deep learning in the field of medical image data develops sophisticated algorithms which enhance structural relationships within data. There is a rapid increase in the usage of electronic medical data and image diagnostics because of the incredible success of deep learning algorithms over image recognition tasks. Breast histopathological images take an active part in breast cancer diagnosis and its treatment. Automated histopathology image recognition tasks help in quickening the diagnosis and also improves error reduction. To obtain an agile, firm, judicial and significant result of medical images pathologists take the assistance of deep learning methods. Histopathological images have a current trend to develop as deep learning models acquired tremendous success when combined with computer vision applications.