State of the Art in Neural Networks and Their Applications

State of the Art in Neural Networks and Their Applications

Volume 2

1st Edition - January 1, 2023

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  • Editors: Jasjit Suri, Ayman S.El-Baz
  • Paperback ISBN: 9780128198728

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Description

State of the Art in Neural Networks and Their Applications, Volume 2 presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. The book covers provides over views and case studies of advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing, and suitable data analytics useful for clinical diagnosis and research applications. The application of neural network, artificial intelligence, and machine learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases. State of the Art in Neural Networks and Their Applications is presented in two volumes. Volume 1: Neural Networks in Oncology Imaging covers lung cancer, prostate cancer, and bladder cancer. Volume 2: Neural Networks in Brain Disorders and Other Diseases covers autism spectrum disorder, Alheimer’s disease, attention deficit hyperactivity disorder, hypertension, and other diseases. Written by experienced engineers in the field, these two volumes will help engineers, computer scientists, researchers, and clinicians understand the technology and applications of artificial neural networks.

Key Features

  • Includes applications of neural networks, AI, machine learning, and deep learning techniques to a variety of oncology imaging technologies
  • Provides in-depth technical coverage of computer-aided diagnosis (CAD) including coverage of computer-aided classification, unified deep learning frameworks, 3D MRI, PET/CT, and more
  • Covers deep learning cancer identification from histopathological images, medical image analysis, and detection, segmentation, and classification via AI

Readership

Biomedical engineers and researchers in neural engineering, medical imaging, and neural networks and students, researchers, and clinicians in oncology and related fields

Product details

  • No. of pages: 432
  • Language: English
  • Copyright: © Academic Press 2023
  • Published: January 1, 2023
  • Imprint: Academic Press
  • Paperback ISBN: 9780128198728

About the Editors

Jasjit Suri

Dr. Jasrit Suri, PhD, MBA, Fellow AIMBE is an innovator, visionary, scientist, and an internationally known world leader. Dr. Suri received the Director General’s Gold medal in 1980 and the Fellow of American Institute of Medical and Biological Engineering, awarded by the National Academy of Sciences, Washington DC in 2004. He has published over 650 peer reviewed articles and has over 100 innovations/trademarks. He has author/co-authored over 45 books. He is currently Chairman of Global Biomedical Technologies, Inc., Roseville, CA, and is on the board of AtheroPoint, Roseville, CA, a company dedicated to Atherosclerosis Imaging for early screening for stroke and cardiovascular monitoring. He has held positions as a chairman of IEEE Denver section and advisor board member to healthcare industries and several universities in USA and abroad.

Affiliations and Expertise

Chairman of Global Biomedical Technologies, Inc.; Board Member, AtheroPoint, Roseville, CA, USA

Ayman S.El-Baz

Dr. El-Baz is a Professor, University Scholar, and Chair of the Bioengineering Department at the University of Louisville, KY. Dr. El-Baz earned his bachelor's and master’s degrees in Electrical Engineering in 1997 and 2001, respectively. He earned his doctoral degree in electrical engineering from the University of Louisville in 2006. In 2009, Dr. El-Baz was named a Coulter Fellow for his contributions to the field of biomedical translational research. Dr. El-Baz has 15 years of hands-on experience in the fields of bio-imaging modeling and non-invasive computer-assisted diagnosis systems. He has authored or coauthored more than 450 technical articles (105 journals, 15 books, 50 book chapters, 175 refereed-conference papers, 100 abstracts, and 15 US patents).

Affiliations and Expertise

Professor, University Scholar, and Chair of the Bioengineering Department, University of Louisville, USA

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