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Machine Learning for Medical Image Reconstruction [[electronic resource] ] : First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings / / edited by Florian Knoll, Andreas Maier, Daniel Rueckert



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Titolo: Machine Learning for Medical Image Reconstruction [[electronic resource] ] : First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings / / edited by Florian Knoll, Andreas Maier, Daniel Rueckert Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (X, 158 p. 67 illus.)
Disciplina: 616.07540285
Soggetto topico: Artificial intelligence
Optical data processing
Computer communication systems
Logic design
Health informatics
Artificial Intelligence
Image Processing and Computer Vision
Computer Communication Networks
Logic Design
Health Informatics
Persona (resp. second.): KnollFlorian
MaierAndreas
RueckertDaniel
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Deep learning for magnetic resonance imaging -- Deep learning for computed tomography -- Deep learning for general image reconstruction.
Sommario/riassunto: This book constitutes the refereed proceedings of the First International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 17 full papers presented were carefully reviewed and selected from 21 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography, and deep learning for general image reconstruction.
Titolo autorizzato: Machine Learning for Medical Image Reconstruction  Visualizza cluster
ISBN: 3-030-00129-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996466192303316
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 11074
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