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Convolutional neural networks for medical image processing applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Convolutional neural networks for medical image processing applicationseditor, Şaban Öztürk.
其他作者:	Öztürk, Şaban,
出版者:	Boca Raton, FL :CRC Press,2023.
面頁冊數:	1 online resource :ill.
標題:	Diagnostic imaging.
電子資源:	https://www.taylorfrancis.com/books/9781003215141
ISBN:	9781003215141$q(electronic bk.)

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$q(electronic bk.)

LCCN: 2022020313Subjects--Topical Terms:

214977
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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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 214977
650 0 $a Neural networks (Neurobiology) $3 182100
650 0 $a Deep learning (Machine learning) $3 913129
650 1 2 $a Image Interpretation, Computer-Assisted $x methods $3 868226
650 1 2 $a Neural Networks, Computer $3 976503
650 1 2 $a Image Processing, Computer-Assisted $x methods $v Congresses. $3 452610
650 2 2 $a Deep Learning. $3 927365
700 1 $a Öztürk, Şaban, $d 1989- $3 976502
856 4 0 $u https://www.taylorfrancis.com/books/9781003215141