Recent Trends in Computer-Aided Diagnostic Systems for Skin Diseases: Theory, Implementation, and Analysis
Language: English
Published by Elsevier Science, 2021
- Softcover
- New
Condition: New
£ 131.68
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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 ext.
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- Title
- Recent Trends in Computer-Aided Diagnostic Systems for Skin Diseases: Theory, Implementation, and Analysis
- Author
- Saptarshi Chatterjee|Debangshu Dey|Sugata Munshi
- Publisher
- Elsevier Science
- Publication year
- 2021
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0323912117
- ISBN 13
- 9780323912112
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
"Synopsis" may belong to another edition of this title.
About the Author
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, and measurements related to condition assessment techniques.
Prof. Sugata Munshi has worked as an engineer in the Plasma Physics Division of Saha Institute of Nuclear Physics, India, from 1985 to 1990. In 1986, he underwent training on “Tokamak machine in the “Heavy Engineering Works of Toshiba Corporation in Japan. In 1990, he joined the Electrical Engineering Department of Jadavpur University as a faculty member. He has published about 45 research papers in refereed journals. He was the joint recipient of The President of India’s Prize (English) in 1989–90, The Pandit Madan Mohan Malaviya Memorial Prize in 1989–90, The Sir Thomas Ward Memorial Prize in 1994–95, The Tata Rao Medal in 1996–97, all awarded by the Institution of Engineers (India), and also Certificates of Merit from IE (India) in 1996–97. At present, he is a professor in this department. His current fields of interest are signal processing, sensor systems, and intelligent instrumentation.
"About the title" may belong to another edition of this title.
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