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Advanced Photonics Methods for Biomedical Applications [Hardcover]

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  • Category: Books (Technology & Engineering)
  • ISBN-10:  1032128429
  • ISBN-10:  1032128429
  • ISBN-13:  9781032128429
  • ISBN-13:  9781032128429
  • Publisher:  CRC Press
  • Publisher:  CRC Press
  • Pages:  226
  • Pages:  226
  • Binding:  Hardcover
  • Binding:  Hardcover
  • SKU:  1032128429-11-MPOD
  • SKU:  1032128429-11-MPOD
  • Item ID: 107070772
  • Seller: ShopSpell
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  • Delivery by: Sep 27 to Sep 29
  • Notes: Brand New Book. Order Now.

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.

1. In Vivo Fluorescence Measurements of Biological Tissue Viability. 2. The Discrete Analysis of the Tissue Biopsy Images with Metamaterial Formalisation. 3. Biomedical Applications of Terahertz Radiation. 4. Polarimetric and Spectral Imaging Approach for Meat Quality Control and Characterization of Biological Tissues.

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.

Edik Rafailov received the PhD degree from the Ioffe Institute in 1992. In 1997 he mlóÉ

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