90,95 €
90,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
45 °P sammeln
90,95 €
90,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
45 °P sammeln
Als Download kaufen
90,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
45 °P sammeln
Jetzt verschenken
90,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
45 °P sammeln
  • Format: ePub

Breast cancer cases are increasing rapidly with high mortality rates. Microwave imaging is emerging as a new diagnostic option because it can overcome the disadvantages of X-ray based mammography.
The reference text explores breast cancer, microwave scattering and microwave imaging based cancer detection as well as role of machine learning and artificial intelligence in the breast cancer diagnosis. Breast anatomy and breast cancer types are covered to understand the severity of breast cancer. Different breast screening techniques are then described along with their advantages and…mehr

Produktbeschreibung
Breast cancer cases are increasing rapidly with high mortality rates. Microwave imaging is emerging as a new diagnostic option because it can overcome the disadvantages of X-ray based mammography.

The reference text explores breast cancer, microwave scattering and microwave imaging based cancer detection as well as role of machine learning and artificial intelligence in the breast cancer diagnosis. Breast anatomy and breast cancer types are covered to understand the severity of breast cancer. Different breast screening techniques are then described along with their advantages and disadvantages. The problem of multiple frequency inverse scattering is formulated and the whole microwave breast imaging system is converted into matrices for easy manipulations and optimization.

In the second section of the book 3-D level set based optimization is discussed. Following an introduction this is described by using single and double level set functions. Ill-posed and noisy measurements are two main problems in the 3-D level set based optimization. These two problems are addressed by using Tikhonov and total variation (TV) regularization schemes.

Finally, advanced methods in image reconstruction techniques are explored. Electric field integral equation is solved in method of moments with detailed derivations. Machine learning-based advanced methods are then described for breast cancer detection.

The key audience for this reference text includes industries working in the areas of breast cancer imaging, prostate cancer imaging, medical image segmentation and machine learning.

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

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, D ausgeliefert werden.

Autorenporträt
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.