Yang xiaosong (11 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2019
Serie: Advances in Computer Vision and Pattern Recognition, Buch 71 von 86. Buch 71 von 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
- Erstausgabe
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Hardcover. Zustand: Very Good. 1. Auflage. Unread, with a mimimum of shelfwear. Immediately dispatched from Germany.
Sprache: Englisch
Verlag: Springer, 2020
Serie: Advances in Computer Vision and Pattern Recognition, Buch 71 von 86. Buch 71 von 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
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Zustand: New. In.
Sprache: Englisch
Verlag: Springer, 2019
Serie: Advances in Computer Vision and Pattern Recognition, Buch 71 von 86. Buch 71 von 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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Zustand: New. In.
- Softcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the revised selected papers of the 33rd International Conference on Computer Animation and Social Agents, CASA 2020, held in Bournemouth, UK\*, in October 2020.The 1 full paper and 13 short papers presented were carefully review…ed and selected from a total of 86 submissions. The papers are organized in topical sections ofmodelling, animation and simulation;virtual reality;image processing and computer vision.\*The conference was held virtually due to the COVID-19 pandemic.
Weitere Bilder- Softcover
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Taschenbuch. Zustand: Neu. Computer Animation and Social Agents | 33rd International Conference on Computer Animation and Social Agents, CASA 2020, Bournemouth, UK, October 13-15, 2020, Proceedings | Feng Tian (u. a.) | Taschenbuch | xii | Englisch | 2020 | Springer | EAN 9783030634254 | Verantwortliche Person für die EU: Spring…er Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Weitere BilderSprache: Englisch
Verlag: Springer, 2020
Serie: Advances in Computer Vision and Pattern Recognition, Buch 71 von 86. Buch 71 von 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
Anbieter: preigu, Osnabrück, Deutschlandpreigu
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Taschenbuch. Zustand: Neu. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics | Le Lu (u. a.) | Taschenbuch | Advances in Computer Vision and Pattern Recognition | xi | Englisch | 2020 | Springer | EAN 9783030139711 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr…. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer, 2019
Serie: Advances in Computer Vision and Pattern Recognition, Buch 71 von 86. Buch 71 von 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 m…ining 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.
Sprache: Englisch
Verlag: Springer, 2020
Serie: Advances in Computer Vision and Pattern Recognition, Buch 71 von 86. Buch 71 von 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 constructio…n 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.
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics: Disease Detection, Organ Segmentation, and Database Construction and Mining
Lu, Le (Editor)/ Wang, Xiaosong (Editor)/ Carneiro, Gustavo (Editor)/ Yang, Lin (Editor)
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2019
Serie: Advances in Computer Vision and Pattern Recognition, Buch 71 von 86. Buch 71 von 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
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Hardcover. Zustand: Brand New. 476 pages. 9.25x6.10x1.34 inches. In Stock.
Sprache: Englisch
Verlag: Springer, 2020
Serie: Advances in Computer Vision and Pattern Recognition, Buch 71 von 86. Buch 71 von 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
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Zustand: New.
Sprache: Englisch
Verlag: Springer, 2019
Serie: Advances in Computer Vision and Pattern Recognition, Buch 71 von 86. Buch 71 von 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore
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Zustand: New.
