Multimodality Imaging, Volume 1 / IOP Expanding Physics (ePub)
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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 Features:
- Discusses various diseases related to lung, heart, peripheral arterial imaging, as well as gene expression characterization and classification
- Explores imaging applications, their complexities and the Deep Learning models employed to resolve them in detail
- Provides state-of-the-art contributions while addressing doubts in multimodal research
- Details the future of deep learning and big data in medical imaging
Professor Jasjit S. Suri has spent over 30 years in the field of biomedical engineering/sciences, software and hardware engineering and its management. He received his Masters from University of Illinois, Chicago and Doctorate from University of Washington, Seattle. Dr. Suri was crowned with President's gold medal in 1980, one of the youngest Fellow of American Institute of Medical and Biological Engineering (AIMBE) for his outstanding contributions at Washington DC in 2004 and was also a recipient of Marquis Life Time Achievement Award for his outstanding contributions in 2018.
- Autoren: Jasjit S Suri , Mainak Biswas
- 2022, 300 Seiten, Englisch
- Verlag: Institute of Physics Publishing
- ISBN-10: 0750322446
- ISBN-13: 9780750322447
- Erscheinungsdatum: 20.12.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Größe: 24 MB
- Mit Kopierschutz
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