ISBN13: | 9781032133812 |
ISBN10: | 1032133813 |
Binding: | Paperback |
No. of pages: | 226 pages |
Size: | 234x156 mm |
Weight: | 453 g |
Language: | English |
Illustrations: | 89 Illustrations, black & white; 36 Halftones, black & white; 53 Line drawings, black & white; 5 Tables, black & white |
700 |
Biotechnology
Electrical engineering and telecommunications, precision engineering
Mechanical Engineering Sciences
Energy industry
Optics
Applied physics
Biophysics
Medical biotechnology
Biotechnology (charity campaign)
Electrical engineering and telecommunications, precision engineering (charity campaign)
Mechanical Engineering Sciences (charity campaign)
Energy industry (charity campaign)
Optics (charity campaign)
Applied physics (charity campaign)
Biophysics (charity campaign)
Medical biotechnology (charity campaign)
Advanced Photonics Methods for Biomedical Applications
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This book provides researchers and professionals in the area of biomedical photonics with a toolbox of novel methodologies for biomedical applications, including health diagnostics, cancer detection and treatment.
Advanced photonics methods for biomedical applications give researchers in universities and industries, and clinicians an overview of the novel tools for cancer diagnostics and treatment. This book provides researchers and professionals in the area of biomedical photonics with a toolbox of novel methodologies for biomedical applications, including health diagnostics, cancer detection, and treatment. It covers the theory, modeling, and design of each method, alongside their applications, fabrication, characterization, and measurements in clinical practice. A wide scope of concepts concerning innovative science and technologies of medicine will be covered, providing the readers with the latest research, developments, and technologies. It will also be a valuable resource for students and early-career researchers, alongside those involved in the design of the novel photonics-based techniques for health diagnostics and cancer detection and treatment.
Key features
? Discusses novel methods of cancer diagnostics and cancer treatment.
? Details non and minimally invasive photonics techniques.
? Explores the applications of machine learning and artificial intelligence to these novel techniques.