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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis : Second International Workshop, Unsure 2020, and Third International Workshop, Grail 2020, Held in Conjunction With Miccai 2020, Lima, Peru, October 8, 2020, Proceedings
Libro 207 di 300: Lecture Notes in Computer ScienceDa: GreatBookPrices, Columbia, MD, U.S.A.
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
Libro 207 di 300: Lecture Notes in Computer ScienceDa: Lucky's Textbooks, Dallas, TX, U.S.A.
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis : Second International Workshop, Unsure 2020, and Third International Workshop, Grail 2020, Held in Conjunction With Miccai 2020, Lima, Peru, October 8, 2020, Proceedings
Libro 207 di 300: Lecture Notes in Computer ScienceDa: GreatBookPrices, Columbia, MD, U.S.A.
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
Libro 207 di 300: Lecture Notes in Computer ScienceDa: California Books, Miami, FL, U.S.A.
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
Libro 207 di 300: Lecture Notes in Computer ScienceDa: Ria Christie Collections, Uxbridge, Regno Unito
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis : Second International Workshop, UNSU
Libro 207 di 300: Lecture Notes in Computer ScienceDa: Chiron Media, Wallingford, Regno Unito
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis : Second International Workshop, Unsure 2020, and Third International Workshop, Grail 2020, Held in Conjunction With Miccai 2020, Lima, Peru, October 8, 2020, Proceedings
Libro 207 di 300: Lecture Notes in Computer ScienceDa: GreatBookPricesUK, Woodford Green, Regno Unito
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis : Second International Workshop, Unsure 2020, and Third International Workshop, Grail 2020, Held in Conjunction With Miccai 2020, Lima, Peru, October 8, 2020, Proceedings
Libro 207 di 300: Lecture Notes in Computer ScienceDa: GreatBookPricesUK, Woodford Green, Regno Unito
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis: Second International Workshop, Unsure 2020, and Third International Workshop, Grail 2020, Held in Conjunction With Miccai 2020, Lima, Peru, October 8,
Libro 207 di 300: Lecture Notes in Computer ScienceLingua: Inglese
Editore: Springer-Nature New York Inc, 2020
ISBN 10: 3030603644 ISBN 13: 9783030603649
Da: Revaluation Books, Exeter, Regno Unito
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis
Libro 207 di 300: Lecture Notes in Computer ScienceLingua: Inglese
Editore: Springer International Publishing, Springer Nature Switzerland Okt 2020, 2020
ISBN 10: 3030603644 ISBN 13: 9783030603649
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2020, and the Third International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic.For UNSURE 2020, 10 papers from 18 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world.GRAIL 2020 accepted 10 papers from the 12 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 244 pp. Englisch.
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Image Analysis in Big Data Architecture using Artificial Intelligence: Compression and Analysis of Biomedical Image Based on Machine Learning and Orthogonal Transforms with Application
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200480400 ISBN 13: 9786200480408
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 148 pages. 8.66x5.91x0.34 inches. In Stock.
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis : Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
Libro 207 di 300: Lecture Notes in Computer ScienceLingua: Inglese
Editore: Springer International Publishing, 2020
ISBN 10: 3030603644 ISBN 13: 9783030603649
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2020, and the Third International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic.For UNSURE 2020, 10 papers from 18 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world.GRAIL 2020 accepted 10 papers from the 12 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis: Second International Workshop, . (Lecture Notes in Computer Science, 12443)
Libro 207 di 300: Lecture Notes in Computer ScienceDa: Mispah books, Redhill, SURRE, Regno Unito
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Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques (Premier Reference Source)
Lingua: Inglese
Editore: Medical Info Science Reference, 2009
ISBN 10: 1605669563 ISBN 13: 9781605669564
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques (Premier Reference Source)
Lingua: Inglese
Editore: Medical Info Science Reference, 2009
ISBN 10: 1605669563 ISBN 13: 9781605669564
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis
Libro 207 di 300: Lecture Notes in Computer ScienceLingua: Inglese
Editore: Springer International Publishing Okt 2020, 2020
ISBN 10: 3030603644 ISBN 13: 9783030603649
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2020, and the Third International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic.For UNSURE 2020, 10 papers from 18 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world.GRAIL 2020 accepted 10 papers from the 12 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts. 244 pp. Englisch.
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis: Second International Workshop, . Pattern Recognition, and Graphics, 12443)
Libro 207 di 300: Lecture Notes in Computer ScienceDa: Majestic Books, Hounslow, Regno Unito
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Aggiungi al carrelloCondizione: New. Print on Demand pp. XVII, 222 104 illus., 75 illus. in color.
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis: Second International Workshop, . Pattern Recognition, and Graphics, 12443)
Libro 207 di 300: Lecture Notes in Computer ScienceDa: Biblios, Frankfurt am main, HESSE, Germania
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. XVII, 222 104 illus., 75 illus. in color.
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis
Libro 207 di 300: Lecture Notes in Computer ScienceLingua: Inglese
Editore: Springer International Publishing, 2020
ISBN 10: 3030603644 ISBN 13: 9783030603649
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2020, and the Third International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2.
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis | Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis | Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings | Carole H. Sudre (u. a.) | Taschenbuch | xvii | Englisch | 2020 | Springer | EAN 9783030603649 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Image Analysis in Big Data Architecture using Artificial Intelligence : Compression and Analysis of Biomedical Image Based on Machine Learning and Orthogonal Transforms with Application
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200480400 ISBN 13: 9786200480408
EUR 62,64
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the medical field, data is increasingly growing and traditional methods cannot manage them efficiently. In the computational biomedical, the continuous challenges are management, analysis, and storage of the biomedical data. Nowadays, big data technology plays a significant role in the management, organization, and analysis of the data using machine learning and artificial intelligence techniques. It becomes very important to develop methods and/or architectures based on big data technologies for complete processing of biomedical images data. In this thesis, we propose a complete and optimal workflow based on big data technology and optimal algorithms drawn from literature to manage biomedical images. Compression step within the proposed optimal workflow will be considered as a study case implementing big data analysis technology. The proposed workflow implements an image compression algorithm for biomedical images, which is based on three main steps, orthogonal transform, vector quantization using machine learning and entropy encoding. The proposed algorithm allows us to develop appropriate and efficient methods to leverage a large number of images into the proposed workflow.
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Biomedical Image Analysis and Machine Learning Technologies
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Biomedical Image Analysis and Machine Learning Technologies Applications and Techniques Advances in Bioinformatics and Biomedical Engineering
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques
Lingua: Inglese
Editore: Medical Information Science Reference, 2011
ISBN 10: 1605669563 ISBN 13: 9781605669564
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a panorama of the current boundary between biomedical complexity coming from the medical image context and the multiple techniques which have been used for solving many of these problems. It will serve as a leading industry reference.Inhalt.
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Biomedical Image Analysis and Machine Learning Technologies | Applications and Techniques
Lingua: Inglese
Editore: Medical Information Science Reference, 2011
ISBN 10: 1605669563 ISBN 13: 9781605669564
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Aggiungi al carrelloBuch. Condizione: Neu. Biomedical Image Analysis and Machine Learning Technologies | Applications and Techniques | Fabio A. Gonzalez (u. a.) | Buch | Gebunden | Englisch | 2011 | Medical Information Science Reference | EAN 9781605669564 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Biomedical Image Analysis and Machine Learning Technologies : Applications and Techniques
Lingua: Inglese
Editore: Medical Information Science Reference, 2009
ISBN 10: 1605669563 ISBN 13: 9781605669564
EUR 327,29
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Medical images are at the base of many routine clinical decisions and their influence continues to increase in many fields of medicine. Since the last decade, computers have become an invaluable tool for supporting medical image acquisition, processing, organization and analysis. Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques provides a panorama of the current boundary between biomedical complexity coming from the medical image context and the multiple techniques which have been used for solving many of these problems. This innovative publication serves as a leading industry reference as well as a source of creative ideas for applications of medical issues.
