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This reference text explores cutting edge research into the detection of breast cancer using Microwave Imaging. Early breast cancer detection is vital for reducing mortality rates. Within this book Microwave scattering and microwave imaging based cancer detection are analysed as well as breast anatomy and breast cancer types. The book discusses 3-D level set based optimization as well as the Finite difference time domain (FDTD) technique. Advanced methods in image reconstruction techniques and Group Theory are explained with application to computation reduction. Machine learning-based advanced…mehr
This reference text explores cutting edge research into the detection of breast cancer using Microwave Imaging. Early breast cancer detection is vital for reducing mortality rates. Within this book Microwave scattering and microwave imaging based cancer detection are analysed as well as breast anatomy and breast cancer types. The book discusses 3-D level set based optimization as well as the Finite difference time domain (FDTD) technique. Advanced methods in image reconstruction techniques and Group Theory are explained with application to computation reduction. Machine learning-based advanced methods are also described for breast cancer detection.
This book is highly useful for the academic community working in biomedical imaging, electromagnetic and microwave imaging, breast cancer imaging, inverse scattering and optimization.
Key Features:
Breast cancer screening techniques are described and with advantages and disadvantages
Multiple frequency inverse scattering is discussed
Microwave imaging basics with detection analysis are explained in detail
Includes 3-D level set based optimization
Presents advanced methods on image-based reconstruction techniques
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Dr Hardik N. Patel completed his PhD from Dhirubhai Ambani Institute of Information and communication technology in 2019. Master of Technology in Communication Systems from Sardar Vallabhbhai National Institute of Technology in 2010. He has completed his B.E. in electronics and communication from Sardar Patel University in 2007. He was Associate System Engineer in IBM India Pvt. Ltd. from 2010 to 2011. He is working as an assistant professor in Pandit Deendayal Energy University since 2020. His research interests are machine learning, AI for imaging and cancer detection, health analytics, image and video analytics, communication and signal processing, Autonomous driving.
Dr Deepak K. Ghodgaonkar received his Bachelor of Engineering in Electronics Engineering from the University of Indore in 1976, Master of Technology in Electrical Engineering, Communication Engineering from IIT Bombay in 1978 and Doctorate in Electrical Engineering from the University of Utah, USA in 1987. He has more than 30 years of teaching and research experience and has published over 150 publications in the form of Books, Book Chapters, Journal Papers, Conference Papers, Edited Conference Proceedings and Research Reports.
Dr 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.
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