Early breast cancer detection is crucial for reducing mortality rates, and researchers have been exploring cutting-edge methods to achieve this goal. This reference book, authored by Hardik N Patel, Deepak K Ghodgaonkar, and Jasjit S Suri, delves into the latest advancements in breast cancer detection using Microwave Imaging.
The book provides an in-depth analysis of breast anatomy and various types of breast cancer, setting the stage for a comprehensive understanding of the detection techniques discussed later.
Microwave scattering and microwave imaging-based cancer detection are extensively analyzed in the book, offering insights into the latest research in this field. The authors also explain the Finite difference time domain (FDTD) technique and its applications in breast cancer detection.
The book explores advanced methods in image reconstruction techniques, including 3-D level set-based optimization, and explains the application of Group Theory in computation reduction. These topics are crucial for researchers and academics working in biomedical imaging and electromagnetic and microwave imaging.
The authors also describe machine learning-based advanced methods for breast cancer detection, providing a comprehensive overview of the latest techniques in this field.
This book is an invaluable resource for the academic community working in biomedical imaging, electromagnetic and microwave imaging, breast cancer imaging, inverse scattering, and optimization. The key features of the book include:
Published by Iop Publishing Ltd, this 400-page hardcover book is a must-have for researchers and academics in the field of biomedical imaging and breast cancer detection. With its comprehensive coverage of the latest research in microwave imaging, it is an essential resource for anyone looking to advance their knowledge in this area.
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