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Medical applications of laser molecular imaging and machine learning / Yury V. Kistenev, Alexey V. Borisov, Denis A. Vrazhnov

Author
Kistenev, Yury V.
Published
Bellingham, Washington (1000 20th St. Bellingham WA 98225-6705 USA) : SPIE, 2021.
Physical Description
1 online resource (xiii, 252 pages) : illustrations
Additional Creators
Borisov, A. V., Vrazhnov, Denis A., and Society of Photo-Optical Instrumentation Engineers
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Contents
Preface -- List of acronyms and abbreviations -- 1. Fundamental concepts related to laser molecular imaging: Introduction; 1.1. Molecular biomarkers; 1.2. Basics of laser molecular spectroscopy and imaging; 1.3. Basics of machine learning; Conclusion; References -- 2. Laser-based molecular data-acquisition technologies: Introduction; 2.1. Data-acquisition technologies suitable for breath biopsy; 2.2. Data acquisition technologies suitable for optical liquid biopsy; 2.3. Data acquisition technologies suitable for optical tissue biopsy; Conclusion; References -- 3. Informative feature extraction: Introduction; 3.1. Feature selection; 3.2. Feature extraction; 3.3. Outliers and noise reduction; Conclusion; References -- 4. Clusterization and predictive model construction: Introduction; 4.1. Unsupervised learning methods: clusterization; 4.2. Predictive model construction; Conclusion; References -- 5. Medical applications: Introduction; 5.1. Breath optical biopsy by laser absorption spectroscopy and machine learning; 5.2. Liquid optical biopsy by IR and THz laser spectroscopy and machine learning; 5.3. Tissue optical biopsy using laser molecular imaging and machine learning; Conclusion; References -- Supplemental materials -- Index.
Summary
This book examines various biophotonics applications associated with modern machine learning techniques and laser molecular imaging and spectroscopy. Most of the existing books focus on either a specific instrumental method, such as terahertz and IR spectroscopy or Raman scattering, or a limited number of mathematical tools for raw data analysis. We describe a thorough review of molecular imaging technologies and current machine learning approaches to perform data analysis of gaseous, liquid samples of biological origin and biotissues. Much of the material highlights applications of machine learning to develop non-invasive medical diagnostics tools.
Subject(s)
ISBN
9781510645356 pdf
1510645357
9781510645349 paperback
Note
"SPIE Digital Library."--Website.
Bibliography Note
Includes bibliographical references and index.
View MARC record | catkey: 34861048