Classification and Clustering in Biomedical Signal Processing (Hardcover)


Advanced techniques in image processing have led to many innovations supporting the medical field, especially in the area of disease diagnosis. Biomedical imaging is an essential part of early disease detection and often considered a first step in the proper management of medical pathological conditions. Classification and Clustering in Biomedical Signal Processing focuses on existing and proposed methods for medical imaging, signal processing, and analysis for the purposes of diagnosing and monitoring patient conditions. Featuring the most recent empirical research findings in the areas of signal processing for biomedical applications with an emphasis on classification and clustering techniques, this essential publication is designed for use by medical professionals, IT developers, and advanced-level graduate students.

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Product Description

Advanced techniques in image processing have led to many innovations supporting the medical field, especially in the area of disease diagnosis. Biomedical imaging is an essential part of early disease detection and often considered a first step in the proper management of medical pathological conditions. Classification and Clustering in Biomedical Signal Processing focuses on existing and proposed methods for medical imaging, signal processing, and analysis for the purposes of diagnosing and monitoring patient conditions. Featuring the most recent empirical research findings in the areas of signal processing for biomedical applications with an emphasis on classification and clustering techniques, this essential publication is designed for use by medical professionals, IT developers, and advanced-level graduate students.

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Product Details

General

Imprint

IGI Global

Country of origin

United States

Series

Advances in Medical Technologies and Clinical Practice

Release date

April 2016

Availability

Expected to ship within 12 - 17 working days

Editors

,

Dimensions

229 x 152 x 27mm (L x W x T)

Format

Hardcover

Pages

420

ISBN-13

978-1-5225-0140-4

Barcode

9781522501404

Categories

LSN

1-5225-0140-1



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