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Classification in bioapps = automati...

Dey, Nilanjan.

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Classification in bioapps = automation of decision making /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Classification in bioapps/ edited by Nilanjan Dey, Amira S. Ashour, Surekha Borra.
其他題名:	automation of decision making /
其他作者:	Dey, Nilanjan.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xiii, 447 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Diagnosis - Data processing. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-65981-7
ISBN:	9783319659817

Classification in bioapps = automation of decision making /
Classification in bioappsautomation 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 ;v.26..

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

Standard No.: 10.1007/978-3-319-65981-7doiSubjects--Topical Terms:

1966311
Diagnosis
--Data processing.

LC Class. No.: RC78.7.D35

Dewey Class. No.: 616.075

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520 $a 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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