9 Machine learning
Machine learning is currently the most active area in research and applications. It is data-driven and relied on a sufficient model or architecture. It can generate images better than those generated by analytic and iterative algorithms. This chapter introduces the basic principle of machine learning and presents its applications in medical image reconstruction.
9.1 Analytic algorithms versus iterative algorithms versus machine learning algorithms
The analytic image reconstruction algorithms are the most rigorous in mathematics and most challenging to develop. They rely on the closed-form solutions of an inverse problem. Due to the difficulty in solving an inverse problem, the researchers often make some strong assumptions ...
Get Medical Image Reconstruction, 2nd Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
