國立虎尾科技大學 |

Language: English

Back

Deep learning for biomedical image reconstruction /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Deep learning for biomedical image reconstruction // edited by Jong Chul Ye, Yonina C. Eldar, Michael Unser.
other author:	Ye, Jong Chul,
Published:	New York, N.Y. :Cambridge University Press, : 2023.,
Description:	xxii, 341 p. :ill. ; : 25 cm.;
Subject:	Diagnostic imaging - Data processing. -
ISBN:	9781316517512 (cloth) :

Deep learning for biomedical image reconstruction /
Deep learning for biomedical image reconstruction /edited by Jong Chul Ye, Yonina C. Eldar, Michael Unser. - New York, N.Y. :Cambridge University Press,2023. - xxii, 341 p. :ill. ;25 cm.

Includes bibliographical references.

Discover the power of deep neural networks for image reconstruction with this state-of-the-art review of modern theories and applications. Including interdisciplinary examples and a step by step background of deep learning, this book provides insight into the future of biomedical image reconstruction with clinical studies and mathematical theory

ISBN: 9781316517512 (cloth) :NT3736

LCCN: 2023008141

Nat. Bib. No.: GBC3E2306bnb

Nat. Bib. Agency Control No.: 021156476UkSubjects--Topical Terms:

678955
Diagnostic imaging
--Data processing.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.07/54

National Library of Medicine Call No.: WN 26.5

Deep learning for biomedical image reconstruction /
LDR:01351cam a2200313 a 4500 001 1137233
003 OCoLC
005 20241209223541.0
008 241219s2023 nyua b 000 0 eng
010 $a 2023008141
015 $a GBC3E2306 $2 bnb
016 7 $a 021156476 $2 Uk
019 $a 1369465556
020 $a 9781316517512 (cloth) : $c NT3736
020 $a 1316517519 (cloth)
020 $z 9781009042529 (PDF ebook)
035 $a (OCoLC)1369335486 $z (OCoLC)1369465556
035 $a on1369335486
040 $a DNLM/DLC $b eng $c NFU $d UKMGB $d OCLCQ $d OCLCF $d OCLCO $d OCLCQ $d NDD $d IG#
041 0 # $a eng
042 $a pcc
050 0 0 $a RC78.7.D53
060 0 0 $a WN 26.5
082 0 0 $a 616.07/54 $2 23
245 0 0 $a Deep learning for biomedical image reconstruction / $c edited by Jong Chul Ye, Yonina C. Eldar, Michael Unser.
260 # $a New York, N.Y. : $b Cambridge University Press, $c 2023.
300 $a xxii, 341 p. : $b ill. ; $c 25 cm.
504 $a Includes bibliographical references.
520 # $a Discover the power of deep neural networks for image reconstruction with this state-of-the-art review of modern theories and applications. Including interdisciplinary examples and a step by step background of deep learning, this book provides insight into the future of biomedical image reconstruction with clinical studies and mathematical theory $c Provided by publisher.
650 # 0 $a Diagnostic imaging $x Data processing. $3 678955
650 # 0 $a Deep learning (Machine learning) $3 1381171
700 1 # $a Ye, Jong Chul, $e editor. $3 1439827
700 1 # $a Eldar, Yonina C., $e editor. $3 1439828
700 1 # $a Unser, Michael A., $e editor. $3 1439829
776 0 8 $i ebook version : $z 9781009042529