Optical Spectroscopy and Imaging for Cancer Diagnostics: Fundamentals, Progress, and Challenges

Melikechi, Noureddine (Editor)

ISBN 10: 9811258953 / ISBN 13: 9789811258954

Published by World Scientific Pub Co Inc, 2022

About this Item

1st edition. 532 pages. 9.00x6.00x1.50 inches. In Stock.

Seller Inventory # x-9811258953

Bibliographic Details

• Title: Optical Spectroscopy and Imaging for Cancer Diagnostics: Fundamentals, Progress, and Challenges
• Publisher: World Scientific Pub Co Inc
• Publication Date: 2022
• Language: English
• ISBN 10: 9811258953
• ISBN 13: 9789811258954
• Binding: Hardcover
• Condition: Brand New
• Weight: 0.91 kilograms

About this title

Synopsis

This is an interdisciplinary book that presents the applications of novel laser spectroscopy and imaging techniques for the detection of cancers recently developed by some of the world's most renown researchers. The book consists of three parts and a total of 16 chapters. Each chapter is written by leading experts who are actively seeking to develop novel spectroscopic and analytical methods for cancer detection and diagnosis.

In Part I, the authors present fundamentals on optics, atoms and molecules, biophysics, cancer and machine learning. These chapters are intended for those who are not experts in the field but wish to learn about fundamentals' aspects of some of the key topics that are addressed in this book.

Particular attention has been given to providing key references for those who wish to go further into the fundamental aspects of atoms and molecules, light-matter interaction, optical instrumentation, machine learning and cancer.

In Part II, the authors present key applications of various laser spectroscopic methods in cancer diagnosis. They have provided recent progress in cancer diagnostics obtained by combining laser spectroscopy and machine learning for the analysis of the spectra acquired from biomedical tissues and biofluids.

In Part III, the authors present chapters that discuss key developments in the applications of various laser imaging techniques for cancer detection.

This is one of the few books that addresses cancer detection and diagnosis using laser spectroscopic and imaging tools with an eye on providing the reader the scientific tools, including machine learning ones.