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Convolutional neural networks for medical image processing applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Convolutional neural networks for medical image processing applications/ editor, Şaban Öztürk.
other author:	Öztürk, Şaban,
Published:	Boca Raton, FL :CRC Press, : 2023.,
Description:	1 online resource :ill.
Subject:	Diagnostic imaging. -
Online resource:	https://www.taylorfrancis.com/books/9781003215141
ISBN:	9781003215141

Convolutional neural networks for medical image processing applications
Convolutional neural networks for medical image processing applications[electronic resource] /editor, Şaban Öztürk. - 1st ed. - Boca Raton, FL :CRC Press,2023. - 1 online resource :ill.

Includes bibliographical references and index.

"With the development of technology, living standards rise and people's expectations increase. This situation makes itself felt strikingly especially in the medical field. The use of medical devices is rapidly increasing to protect human health. It is very important to quickly evaluate the images obtained from these medical imaging devices. For this purpose, artificial intelligence (AI) methods are used. While hand-crafted methods were preferred in the past, more advanced methods are preferred today. CNN architectures are one of the most effective AI methods today. This book contains applications for the use of CNN methods for medical applications. The content of the book, in which different CNN methods are applied to various medical image processing problems, is quite extensive. Readers will be able to comprehensively analyze the effects of CNN methods presented in the book on medical applications"--

ISBN: 9781003215141

LCCN: 2022020313Subjects--Topical Terms:

658032
Diagnostic imaging.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.07/54

National Library of Medicine Call No.: WN 26.5

Convolutional neural networks for medical image processing applications
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050 0 0 $a RC78.7.D53
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082 0 0 $a 616.07/54 $2 23
245 0 0 $a Convolutional neural networks for medical image processing applications $h [electronic resource] / $c editor, Şaban Öztürk.
250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, $c 2023.
300 $a 1 online resource : $b ill.
504 $a Includes bibliographical references and index.
520 $a "With the development of technology, living standards rise and people's expectations increase. This situation makes itself felt strikingly especially in the medical field. The use of medical devices is rapidly increasing to protect human health. It is very important to quickly evaluate the images obtained from these medical imaging devices. For this purpose, artificial intelligence (AI) methods are used. While hand-crafted methods were preferred in the past, more advanced methods are preferred today. CNN architectures are one of the most effective AI methods today. This book contains applications for the use of CNN methods for medical applications. The content of the book, in which different CNN methods are applied to various medical image processing problems, is quite extensive. Readers will be able to comprehensively analyze the effects of CNN methods presented in the book on medical applications"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Diagnostic imaging. $3 658032
650 0 $a Neural networks (Neurobiology) $3 553868
650 0 $a Deep learning (Machine learning) $3 3538509
650 1 2 $a Image Interpretation, Computer-Assisted $x methods $3 3452478
650 1 2 $a Neural Networks, Computer $3 3720443
650 1 2 $a Image Processing, Computer-Assisted $x methods $v Handbooks. $3 2017294
650 2 2 $a Deep Learning. $3 3616867
700 1 $a Öztürk, Şaban, $d 1989- $3 3720442
856 4 0 $u https://www.taylorfrancis.com/books/9781003215141