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Classification in bioappsautomation ...
~
Ashour, Amira S.
Classification in bioappsautomation of decision making /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Classification in bioappsedited by Nilanjan Dey, Amira S. Ashour, Surekha Borra.
Reminder of title:
automation of decision making /
other author:
Dey, Nilanjan.
Published:
Cham :Springer International Publishing :2018.
Description:
xiii, 447 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
DiagnosisData processing.
Online resource:
http://dx.doi.org/10.1007/978-3-319-65981-7
ISBN:
9783319659817$q(electronic bk.)
Classification in bioappsautomation of decision making /
Classification in bioapps
automation of decision making /[electronic resource] :edited by Nilanjan Dey, Amira S. Ashour, Surekha Borra. - Cham :Springer International Publishing :2018. - xiii, 447 p. :ill., digital ;24 cm. - Lecture notes in computational vision and biomechanics,v.262212-9391 ;. - Lecture notes in computational vision and biomechanics ;1..
This book on classification in biomedical image applications presents original and valuable research work on advances in this field, which covers the taxonomy of both supervised and unsupervised models, standards, algorithms, applications and challenges. Further, the book highlights recent scientific research on artificial neural networks in biomedical applications, addressing the fundamentals of artificial neural networks, support vector machines and other advanced classifiers, as well as their design and optimization. In addition to exploring recent endeavours in the multidisciplinary domain of sensors, the book introduces readers to basic definitions and features, signal filters and processing, biomedical sensors and automation of biomeasurement systems. The target audience includes researchers and students at engineering and medical schools, researchers and engineers in the biomedical industry, medical doctors and healthcare professionals.
ISBN: 9783319659817$q(electronic bk.)
Standard No.: 10.1007/978-3-319-65981-7doiSubjects--Topical Terms:
611662
Diagnosis
--Data processing.
LC Class. No.: RC78.7.D35
Dewey Class. No.: 616.075
Classification in bioappsautomation of decision making /
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This book on classification in biomedical image applications presents original and valuable research work on advances in this field, which covers the taxonomy of both supervised and unsupervised models, standards, algorithms, applications and challenges. Further, the book highlights recent scientific research on artificial neural networks in biomedical applications, addressing the fundamentals of artificial neural networks, support vector machines and other advanced classifiers, as well as their design and optimization. In addition to exploring recent endeavours in the multidisciplinary domain of sensors, the book introduces readers to basic definitions and features, signal filters and processing, biomedical sensors and automation of biomeasurement systems. The target audience includes researchers and students at engineering and medical schools, researchers and engineers in the biomedical industry, medical doctors and healthcare professionals.
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based on 0 review(s)
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000000150986
電子館藏
1圖書
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EB RC78.7.D35 C614 2018 2018
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http://dx.doi.org/10.1007/978-3-319-65981-7
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