Machine Learning as a classification tool for Histopathological analysi

Abstract

Decision support systems and automated classification are a vast area of research in the intersection of medicine and artificial intelligence. Significant accomplishments are delivered in the last decade, thanks to the revolution of computer vision. Automated classification of histopathological slides can potentially provide well-needed assistance to overworked pathologists, improve classification accuracy, and reduce inter and intra-observer error. Research proves that convolutional neural networks outperform pathologists on several tasks. However, these promising results are not yet integrated into the pathology department because of some intricate problems. The integration of deep learning algorithms can potentially enhance diagnostics and efficiency, which in turn makes healthcare more accessible and affordable.