Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems
| Auflage | 2021 |
| Seiten | 283 pp., 117 illus. |
| Verlag | Springer |
| ISBN | 9789811561436 |
| Artikel-Nr. | 618828 |
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Produktbeschreibung
This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning-based image analysis techniques, used in healthcare diagnostics.
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.
Highlights various pre-processing techniques for biosignal and medical image analysis
Describes procedures for identifying regions of interest in signals and images, a major trend in the healthcare industry
Presents important feature selection and extraction techniques for biomedical image processing
Analyzes the applications of artificial intelligence in healthcare
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.
Highlights various pre-processing techniques for biosignal and medical image analysis
Describes procedures for identifying regions of interest in signals and images, a major trend in the healthcare industry
Presents important feature selection and extraction techniques for biomedical image processing
Analyzes the applications of artificial intelligence in healthcare
