Articles liés à Deep Learning in Healthcare: Paradigms and Applications
Synopsis
This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical computer-aided diagnosis systems.
Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an important role in numerous academic and industrial areas. DL involves using a neural network with many layers (deep structure) between input and output, and its main advantage of is that it can automatically learn data-driven, highly representative and hierarchical features and perform feature extraction and classification on one network. DL can be used to model or simulate an intelligent system or process using annotated training data.
Recently, DL has become widely used in medical applications, such as anatomic modelling, tumour detection, disease classification, computer-aided diagnosis and surgical planning. This book is intended for computer science and engineering students and researchers, medical professionals and anyone interested using DL techniques.
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Deep Learning in Healthcare: Paradigms and Applications (Intelligent Systems Reference Library, Band 171)
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Springer, 2020
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ISBN 13 : 9783030326081
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Deep Learning in Healthcare: Paradigms and Applications
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Deep Learning in Healthcare
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses the advances and future of deep learning in medicine and health careIncludes a comprehensiveCC  introduction to deep learningFocuses on medical imaging and computer-aided diagnosisThis book provides a comprehen. N° de réf. du vendeur 448679073
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Deep Learning in Healthcare: Paradigms and Applications (Intelligent Systems Reference Library)
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Deep Learning in Healthcare : Paradigms and Applications
Edité par
Springer International Publishing, 2020
ISBN 10 : 303032608X
ISBN 13 : 9783030326081
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical computer-aided diagnosis systems.Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an important role in numerous academic and industrial areas. DL involves using a neural network with many layers (deep structure) between input and output, and its main advantage of is that it can automatically learn data-driven, highly representative and hierarchical features and perform feature extraction and classification on one network. DL can be used to model or simulate an intelligent system or process using annotated training data.Recently, DL has become widely used in medical applications, such as anatomic modelling, tumour detection, disease classification, computer-aided diagnosis and surgical planning. This book is intended for computer science and engineering students and researchers, medical professionals and anyone interested using DL techniques. N° de réf. du vendeur 9783030326081
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Deep Learning in Healthcare
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ISBN 10 : 303032608X
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ISBN 10 : 303032608X
ISBN 13 : 9783030326081
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