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Medical Image Reconstruction: From Analytical and Iterative Methods to Machine Learning - Couverture souple
Synopsis
This textbook introduces the essential concepts of tomography in the field of medical imaging. The medical imaging modalities include x-ray CT (computed tomography), PET (positron emission tomography), SPECT (single photon emission tomography) and MRI. In these modalities, the measurements are not in the image domain and the conversion from the measurements to the images is referred to as the image reconstruction.
The work covers various image reconstruction methods, ranging from the classic analytical inversion methods to the optimization-based iterative image reconstruction methods. As machine learning methods have lately exhibited astonishing potentials in various areas including medical imaging the author devotes one chapter to applications of machine learning in image reconstruction.
Based on college level in mathematics, physics, and engineering the textbook supports students in understanding the concepts. It is an essential reference for graduate students and engineers with electrical engineering and biomedical background due to its didactical structure and the balanced combination of methodologies and applications,
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À propos de l?auteur
Gengsheng Lawrence Zeng, Weber State University, Odgen, USA.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Medical Image Reconstruction : From Analytical and Iterative Methods to Machine Learning
Edité par
Gruyter, Walter de GmbH, 2023
ISBN 10 : 3111055035
ISBN 13 : 9783111055039
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Couverture souple
Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 273 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 42234582/12
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Medical Image Reconstruction
Vendeur : moluna, Greven, Allemagne
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Etat : New. The care, clarity and depth of most of the chapters contained in that book are admirable. I highly recommend this book as a source for graduates and engineers involved in the field of medical imaging. Optics and Photonics News, Larry Z. N° de réf. du vendeur 812104861
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Medical Image Reconstruction
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur DB-9783111055039
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Medical Image Reconstruction
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur DB-9783111055039
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MEDICAL IMAGE RECONSTRUCTION
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
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Etat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. N° de réf. du vendeur ABNR-18550
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Medical Image Reconstruction
Vendeur : Rarewaves USA, OSWEGO, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. 2nd edition. This textbook introduces the essential concepts of tomography in the field of medical imaging. The medical imaging modalities include x-ray CT (computed tomography), PET (positron emission tomography), SPECT (single photon emission tomography) and MRI. In these modalities, the measurements are not in the image domain and the conversion from the measurements to the images is referred to as the image reconstruction. The work covers various image reconstruction methods, ranging from the classic analytical inversion methods to the optimization-based iterative image reconstruction methods. As machine learning methods have lately exhibited astonishing potentials in various areas including medical imaging the author devotes one chapter to applications of machine learning in image reconstruction. Based on college level in mathematics, physics, and engineering the textbook supports students in understanding the concepts. It is an essential reference for graduate students and engineers with electrical engineering and biomedical background due to its didactical structure and the balanced combination of methodologies and applications, N° de réf. du vendeur LU-9783111055039
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Medical Image Reconstruction: From Analytical and Iterative Methods to Machine Learning (De Gruyter Textbook)
Vendeur : California Books, Miami, FL, Etats-Unis
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Etat : New. N° de réf. du vendeur I-9783111055039
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MEDICAL IMAGE RECONSTRUCTION
Vendeur : SMASS Sellers, IRVING, TX, Etats-Unis
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Etat : New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed. N° de réf. du vendeur ASNT3-18550
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Medical Image Reconstruction
Vendeur : Basi6 International, Irving, TX, Etats-Unis
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Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEJUNE24-314762
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Medical Image Reconstruction
Vendeur : Rarewaves USA United, OSWEGO, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. 2nd edition. This textbook introduces the essential concepts of tomography in the field of medical imaging. The medical imaging modalities include x-ray CT (computed tomography), PET (positron emission tomography), SPECT (single photon emission tomography) and MRI. In these modalities, the measurements are not in the image domain and the conversion from the measurements to the images is referred to as the image reconstruction. The work covers various image reconstruction methods, ranging from the classic analytical inversion methods to the optimization-based iterative image reconstruction methods. As machine learning methods have lately exhibited astonishing potentials in various areas including medical imaging the author devotes one chapter to applications of machine learning in image reconstruction. Based on college level in mathematics, physics, and engineering the textbook supports students in understanding the concepts. It is an essential reference for graduate students and engineers with electrical engineering and biomedical background due to its didactical structure and the balanced combination of methodologies and applications, N° de réf. du vendeur LU-9783111055039
Quantité disponible : Plus de 20 disponibles