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Hardcover. Condition: Très bon. Edition 2018. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Edition 2018. Ammareal gives back up to 15% of this item's net price to charity organizations.
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AK. Lübecker Museen, 8.7.2012 - 2.9.2012 / Ludwig Museum Koblenz,4.11.2012 - 16.1.2013. Mit Texten von Thorsten Rodiek, Beate Reiffenscheid, Demetrio Paparoni, Gao Minglu und Fan D'ian. München: Hirmer Verlag, 2012. Rot illustr. OHardc. 246 Seiten mit Texten in deutsch, englisch und chinesisch sowie 64 teils doppelseitige, farbige Werkabbildungen und Textillustrationen, Bio- und Bibliographie des Künstlers. - 32,5 x 25,5. * Wang Xiaosong ist ein 1964 in Wuhan geborener chinesischer Künstler und Kunst-Professor. Wang, der von 1983 bis 1997 in Peking und Berlin studiert hat, verwendet in seinen Arbeiten einen Zusammenfluss chinesischer und westlicher Kunst. Er nahm 2011 an einem 'Gegenprogramm' zum offiziellen Beitrag der Biennale teilnahm und sorgte so für Aufsehen mit seinen Gemälden. - Druckfrisch und unbenutzt. - Versand gewichtsbedingt nur mit Paket-Zusatzporto möglich !
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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics: Disease Detection, Organ Segmentation, and Database . in Computer Vision and Pattern Recognition) [Hardcover] Lu, Le; Wang, Xiaosong; Carneiro, Gustavo and Yang, Lin
Book 71 of 86: Advances in Computer Vision and Pattern RecognitionFirst Edition
Hardcover. Condition: Very Good. 1. Auflage. Unread, with a mimimum of shelfwear. Immediately dispatched from Germany.
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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics (Advances in Computer Vision and Pattern Recognition)
Book 71 of 86: Advances in Computer Vision and Pattern RecognitionSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics (Advances in Computer Vision and Pattern Recognition)
Book 71 of 86: Advances in Computer Vision and Pattern RecognitionSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics : Disease Detection, Organ Segmentation, and Database Construction and Mining
Book 71 of 86: Advances in Computer Vision and Pattern RecognitionSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics : Disease Detection, Organ Segmentation, and Database Construction and Mining
Book 71 of 86: Advances in Computer Vision and Pattern RecognitionSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
Book 71 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by Springer Nature Switzerland AG, CH, 2019
ISBN 10: 3030139689 ISBN 13: 9783030139681
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Hardback. Condition: New. 2019 ed.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Engineering Plasticity : Theory and Applications in Metal Forming
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Engineering Plasticity : Theory and Applications in Metal Forming
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Engineering Plasticity: Theory and Applications in Metal Forming
Language: English
Published by Wiley-Blackwell 2019-02-12, 2019
ISBN 10: 1119237300 ISBN 13: 9781119237303
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Engineering Plasticity
Language: English
Published by John Wiley and Sons Inc, US, 2019
ISBN 10: 1119237300 ISBN 13: 9781119237303
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketHardback. Condition: New. An all-in-one guide to the theory and applications of plasticity in metal forming, featuring examples from the automobile and aerospace industries Provides a solid grounding in plasticity fundamentals and material propertiesFeatures models, theorems and analysis of processes and relationships related to plasticity, supported by extensive experimental dataOffers a detailed discussion of recent advances and applications in metal forming.
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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
Book 71 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by Springer Nature Switzerland AG, CH, 2019
ISBN 10: 3030139689 ISBN 13: 9783030139681
Hardback. Condition: New. 2019 ed. This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology databases. It particularly focuses on the application of convolutional neural networks, and on recurrent neural networks like LSTM, using numerous practical examples to complement the theory. The book's chief features are as follows: It highlights how deep neural networks can be used to address new questions and protocols, and to tackle current challenges in medical image computing; presents a comprehensive review of the latest research and literature; and describes a range of different methods that employ deep learning for object or landmark detection tasks in 2D and 3D medical imaging. In addition, the book examines a broad selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to text and image deep embedding for a large-scale chest x-ray image database; and discusses how deep learning relational graphs can be used to organize a sizable collection of radiology findings from real clinical practice, allowing semantic similarity-based retrieval.The intended reader of this edited book is a professional engineer, scientist or a graduate student who is able to comprehend general concepts of image processing, computer vision and medical image analysis. They can apply computer science and mathematical principles into problem solving practices. It may be necessary to have a certain level of familiarity with a number of more advanced subjects: image formation and enhancement, image understanding, visual recognition in medical applications, statistical learning, deep neural networks, structured prediction and image segmentation.
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Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: New. pp. XI, 461 177 illus., 156 illus. in color. 1st ed. 2019 edition NO-PA16APR2015-KAP.
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Hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
