Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems (PDF)
It highlights a range of data...
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It highlights a range of data pre-processing methods used in signal processing for effective data mining in remote healthcare, and discusses pre-processing using filter techniques, noise removal, and contrast-enhanced methods for improving image quality.
The book discusses the status quo of artificial intelligence in medical applications, as well as its future. Further, it offers a glimpse of feature extraction methods for reducing dimensionality and extracting discriminatory information hidden in biomedical signals. Given its scope, the book is intended for academics, researchers and practitioners interested in the latest real-world technological innovations.
Dr V Rajinikanth is a Professor at the Department of Electronics and Instrumentation Engineering, St Joseph's College of Engineering, Chennai, India. His research chiefly concerns medical image and signal analysis, including: EEG signals, brain MRI assessment, histopathology image analysis, evaluation of dermoscopy images, and ischemic stroke examination using brain MRIs recorded with various modalities. With 18 years of teaching experience in the fields of controller design, artificial intelligence applications, optimization and biomedical instrumentation, he has published more than 75 research articles in peer-reviewed international journals and conference proceedings, and has authored or co-authored 8 book chapters. He edited the book Advances in Artificial Intelligence Systems and currently serves as an Associate Editor for the International Journal of Rough Sets and Data Analysis (IJRSDA).
- 2020, 1st ed. 2021, 283 Seiten, Englisch
- Herausgegeben: E. Priya, V. Rajinikanth
- Verlag: Springer Nature Singapore
- ISBN-10: 9811561419
- ISBN-13: 9789811561412
- Erscheinungsdatum: 21.09.2020
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- Dateiformat: PDF
- Grösse: 11 MB
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