Detection Systems in Lung Cancer and Imaging, Volume 1 (IOP ebooks) - Hardcover

Hardcover

ISBN 10: 0750333537 ISBN 13: 9780750333535

Publisher: Institute of Physics Publishing, 2022

Synopsis

Ultra-brief Copy

This book focuses on major trends and challenges in the detection of lung cancer, presenting work aimed at identifying new techniques and their use in biomedical analysis. Volume 1 examines the main applications of computer-aided diagnosis to lung cancer. It is ideal for academics, industry professionals and advanced students.

About this title

About the Authors

Ayman El-Baz, Ph.D., is is a Distinguished Professor at University of Louisville, Kentucky, United States and University of Louisville at AlAlamein International University (UofL-AIU), New Alamein City, Egypt. Dr. El-Baz earned his B.Sc. and M.Sc. degrees in electrical engineering in 1997 and 2001, respectively. He earned his Ph.D. in electrical engineering from the University of Louisville in 2006. Dr. El-Baz was named as a Fellow for Coulter, AIMBE and NAI for his contributions to the field of biomedical translational research. Dr. El-Baz has almost two decades of hands-on experience in the fields of bio-imaging modeling and non-invasive computer-assisted diagnosis systems. He has authored or co-authored more than 700 technical articles.

Jasjit S. Suri, PhD, MBA is a Fellow of IEEE, AIMBE, SVM, AIUM, and APVS. He is currently the Chairman of AtheroPoint, Roseville, CA, USA, dedicated to imaging technologies for cardiovascular and stroke. He has nearly ~22,000 citations, co-authored 50 books, and has an H-index of 72.

Edition details

• Publisher: Institute of Physics Publishing
• Publication date: 2022
• Language: English
• ISBN 10: 0750333537
• ISBN 13: 9780750333535
• Binding: Hardcover
• Number of pages: 240
• Editor: El-Baz Ayman, Suri Jasjit S