Signal and image processing techniques for the development of intelligent healthcare systems /

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Bibliographic Details
Imprint:	Singapore : Springer, 2021.
Description:	1 online resource
Language:	English
Subject:	Diagnostic imaging -- Digital techniques. Diagnostic imaging -- Data processing. Signal processing -- Digital techniques. Image processing -- Digital techniques. Artificial intelligence -- Medical applications. Molecular biology. Image processing. Machine learning. Biomedical engineering. Science -- Life Sciences -- Anatomy & Physiology. Computers -- Computer Graphics. Computers -- Intelligence (AI) & Semantics. Medical -- Allied Health Services -- Medical Technology. Artificial intelligence -- Medical applications. Diagnostic imaging -- Data processing. Diagnostic imaging -- Digital techniques. Image processing -- Digital techniques. Signal processing -- Digital techniques. Electronic books. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12607767

Hidden Bibliographic Details
Other authors / contributors:	Priya, E. Rajinikanth, Venkatesan.
ISBN:	9789811561412 9811561419 9811561400 9789811561405
Notes:	Online resource; title from PDF title page (SpringerLink, viewed November 19, 2020).
Summary:	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.
Other form:	Original 9811561400 9789811561405
Standard no.:	10.1007/978-981-15-6 10.1007/978-981-15-6141-2

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