Multimodality Imaging: Deep Learning Applications

by Jasjit S. Suri, Mainak Biswas

This research and reference text explores the finer details of Deep Learning models. It provides a brief outline on popular models including convolution neural networks (CNN), deep belief networks (DBN), autoencoders, residual neural networks (Res Nets). The text discusses some of the Deep Learning-based applications in gene identification. Sections in the book explore the foundation and necessity of deep learning in radiology, the application of deep learning in the area of cardiovascular imaging and deep learning applications in the area of fatty liver disease characterization and COVID19, respectively.
This reference text is highly relevant for medical professionals and researchers in the area of AI in medical imaging. Key

300 pages, Hardcover

Published October 31, 2021

About the author

Jasjit S. Suri, PhD is an innovator, scientist, a visionary, and industrialist and an internationally known world leader in Biomedical Engineering and Biological Sciences. Dr. Suri has spent over 20 years in the field of biomedical engineering, devices and its management. He received his Doctorate from the University of Washinton, Seattle and Master's in Executive Business Management from Weatherhead, Case Western Reserve University, Cleveland, Ohio. Dr. Suri was crowned with the President's Gold Medal in 1980 and elected as a Fellow of the American Institute for Medical and Biological Engineering.