This book is aimed to cover the recent investigations of spectral analysis for biological applications especially dealing with cancer detection, including microparticles detection in blood and urine, etc. It is known that there is no permanent cure for metastatic cancers, nevertheless, detecting it at an early stage and treating it accordingly, is one way to reduce its severity. i.e., increasing survival rate. To effectively detect tumours at an early stage, several optical techniques such as Mammography, Ultrasound, Computed Tomography (CT), Positron Emission Tomography (PET) and Magnetic Resonance are widely preferred.

This book is dedicated to discussing the technological advancement, challenges, and the future perspective of some of these spectral analysis techniques for cancer diagnosis. The authors believe this book will provide the fundamental knowledge, awareness and modes of treatments that are available to readers.

Key Features:

This book will provide a comprehensive overview for spectral analysis for cancer diagnostics Includes extensive analysis of early cancer detection techniques Covers modern techniques of saliva-based cancer detection techniques Covers an investigation of Deep Learning techniques for cancer diagnostics Includes extensive references to enhance further study and implementation