A Review of the Evolution of Deep Learning Architectures and Comparison of their Performances for Histopathologic Cancer Detection

Artificial intelligence in the form of deep neural networks have taken off in the last few years and AI-based applications have become a part of our everyday life. However, the start of modern AI revolution can be traced back to a program that won a computer vision competition in 2012: AlexNet. Since then, the field has made dramatic progress, with many programs significantly beating the results from AlexNet. This report addresses the evolution of some of the representative models, and discusses the advances, the challenges, and major points of research in the field today.