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Deep Learning and Machine Learning in Imaging: Basic Principles

  • Bradley J. EricksonEmail author
Chapter

Abstract

Artificial intelligence has recently received much attention largely because of substantial improvements in image recognition performance, based largely on a class of algorithms known as deep learning. Prior machine learning methods are still useful and can provide a good understanding of machine learning fundamentals. Deep learning methods are still seeing rapid advances, but there are several basic components that are likely to be durable. This chapter describes the concepts common to all machine learning and then provides a more detailed description of deep learning methods and components.

Keywords

Convolutional neural network Deep learning Support vector machine Feature vector Neural network 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of RadiologyMayo ClinicRochesterUSA

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