Academic Press Recent Trends in Computer-aided Diagnostic Systems for Skin Diseases: Theory, Implementation, and Analysis

Product Description Recent Trends in Computer-aided Diagnostic Systems for Skin Diseases: Theory, Implementation, and Analysis provides comprehensive coverage on the development of computer-aided diagnostic (CAD) systems employing image processing and machine learning tools for improved, uniform evaluation and diagnosis (avoiding subjective judgment) of skin disorders. The methods and tools are described in a general way so that these tools can be applied not only for skin diseases but also for a wide range of analogous problems in the domain of biomedical systems. Moreover, quantification of clinically relevant information that can associate the findings of physicians/experts is the most challenging task of any CAD system. This book gives all the details in a step-by-step form for different modules so that the readers can develop each of the modules like preprocessing, feature extraction/learning, disease classification, as well as an entire expert diagnosis system themselves for their own applications. Demonstrates extensive calculations for illustrating the theoretical analysis of advanced image processing and machine learning techniques Provides a comprehensive coverage on the development of various signal processing tools for the extraction of statistical and clinically correlated features from skin lesion images Describes image processing and machine learning techniques for improved uniform evaluation and diagnosis of skin disorders Review Addresses the recent development of image processing and machine learning techniques for the identification and analysis of skin disorders From the Back Cover <p><i><b>Recent Trends in Computer-aided Diagnostic Systems for Skin Diseases: Theory, Implementation, and Analysis</b> </i>provides comprehensive coverage on the development of computer-aided diagnostic (CAD) systems employing image processing and machine learning tools for improved, uniform evaluation and diagnosis (avoiding subjective judgment) of skin disorders. </p> <p>The methods and tools are described in a general way so that these tools can be applied not only for skin diseases but also for a wide range of analogous problems in the domain of biomedical systems. Moreover, quantification of clinically relevant information that can associate the findings of physicians/experts is the most challenging task of any CAD system. </p> <p>This book gives all the details in a step-by-step form for different modules so that the readers can develop each of the modules like preprocessing, feature extraction/learning, disease classification, as well as an entire expert diagnosis system themselves for their own applications. </p> About the Author Dr. Saptarshi Chatterjee has completed his PhD from the Electrical Engineering Department, Jadavpur University, Kolkata, India. He has significant technical research publications in archived journals and peer-reviewed conferences. He is also the recipient of Visvesvaraya PhD Fellowship, MeitY, Government of India, and two Best Paper Awards in international conferences. He is a member of IEEE Signal Processing Society. His research initiatives are focused in the area of signal processing, image processing, and condition monitoring of biomedical systems. Dr. Debangshu Dey is working as an assistant professor in the Electrical Engineering Department, Jadavpur University, Kolkata, India. Dr. Dey has published more than 50 research papers in various international journals in the fields of his research and coauthored one book from Springer-Verlag London. Four patents have been granted to him including a US Patent. He is also the recipient of IEI Young Engineer Award in 2014 and two Best Paper Awards in International Conferences. His areas of interest are applications of signal and image conditioning and processing tools in electrical and biomedical systems, condition monitoring of electrical equipment, noninvasive testing, intelligent instrumentation,