Edité par World Scientific Publishing Co Pte Ltd, 2017
ISBN 10 : 9813232978 ISBN 13 : 9789813232976
Langue: anglais
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Edité par World Scientific Publishing Co Pte Ltd, 2017
ISBN 10 : 9813232978 ISBN 13 : 9789813232976
Langue: anglais
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Edité par World Scientific Publishing Co Pte Ltd, 2017
ISBN 10 : 9813232978 ISBN 13 : 9789813232976
Langue: anglais
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Edité par World Scientific Publishing Co Pte Ltd, 2017
ISBN 10 : 9813232978 ISBN 13 : 9789813232976
Langue: anglais
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Edité par World Scientific Publishing Co Pte Ltd, 2017
ISBN 10 : 9813232978 ISBN 13 : 9789813232976
Langue: anglais
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
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Ajouter au panierEtat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Edité par World Scientific Publishing Co Pte Ltd, 2017
ISBN 10 : 9813232978 ISBN 13 : 9789813232976
Langue: anglais
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Edité par World Scientific Publishing Co Pte Ltd, 2017
ISBN 10 : 9813232978 ISBN 13 : 9789813232976
Langue: anglais
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Ajouter au panierEtat : New. pp. 308.
Edité par World Scientific Publishing Co Pte Ltd, 2017
ISBN 10 : 9813232978 ISBN 13 : 9789813232976
Langue: anglais
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Ajouter au panierBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Edité par World Scientific Publishing Co Pte Ltd, 2017
ISBN 10 : 9813232978 ISBN 13 : 9789813232976
Langue: anglais
Vendeur : ALLBOOKS1, Direk, SA, Australie
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Ajouter au panierBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Edité par World Scientific Publishing Co Pte Ltd, 2017
ISBN 10 : 9813232978 ISBN 13 : 9789813232976
Langue: anglais
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Ajouter au panierEtat : New. pages cm First edition Includes bibliographical references and index.
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Ajouter au panierhardcover. Etat : New. Open Books is a nonprofit social venture that provides literacy experiences for thousands of readers each year through inspiring programs and creative capitalization of books.
Edité par World Scientific Publishing Co Pte Ltd, 2017
ISBN 10 : 9813230703 ISBN 13 : 9789813230705
Langue: anglais
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Edité par World Scientific Publishing Co Pte Ltd, 2017
ISBN 10 : 9813230703 ISBN 13 : 9789813230705
Langue: anglais
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 760.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par World Scientific Publishing Co Pte Ltd, 2017
ISBN 10 : 9813230703 ISBN 13 : 9789813230705
Langue: anglais
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Ajouter au panierPaperback. Etat : Brand New. 412 pages. 9.18x6.12x9.21 inches. In Stock.
Edité par Taylor & Francis Ltd, London, 2024
ISBN 10 : 1032108827 ISBN 13 : 9781032108827
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 78,58
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Ajouter au panierPaperback. Etat : new. Paperback. The application of machine learning is growing exponentially into every branch of business and science, including medical science. This book presents the integration of machine learning (ML) and deep learning (DL) algorithms that can be applied in the healthcare sector to reduce the time required by doctors, radiologists, and other medical professionals for analyzing, predicting, and diagnosing the conditions with accurate results. The book offers important key aspects in the development and implementation of ML and DL approaches toward developing prediction tools and models and improving medical diagnosis. The contributors explore the recent trends, innovations, challenges, and solutions, as well as case studies of the applications of ML and DL in intelligent system-based disease diagnosis. The chapters also highlight the basics and the need for applying mathematical aspects with reference to the development of new medical models. Authors also explore ML and DL in relation to artificial intelligence (AI) prediction tools, the discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, and pattern recognition approaches to functional magnetic resonance imaging images. This book is for students and researchers of computer science and engineering, electronics and communication engineering, and information technology; for biomedical engineering researchers, academicians, and educators; and for students and professionals in other areas of the healthcare sector. Presents key aspects in the development and the implementation of ML and DL approaches toward developing prediction tools, models, and improving medical diagnosis Discusses the recent trends, innovations, challenges, solutions, and applications of intelligent system-based disease diagnosis Examines DL theories, models, and tools to enhance health information systems Explores ML and DL in relation to AI prediction tools, discovery of drugs, neuroscience, and diagnosis in multiple imaging modalitiesDr. K. Gayathri Devi is a Professor at the Department of Electronics and Communication Engineering, Dr. N.G.P Institute of Technology, Tamil Nadu, India. Dr. Kishore Balasubramanian is an Assistant Professor (Senior Scale) at the Department of EEE at Dr. Mahalingam College of Engineering & Technology, Tamil Nadu, India. Dr. Le Anh Ngoc is a Director of Swinburne Innovation Space and Professor in Swinburne University of Technology (Vietnam). This book presents the integration of machine learning and deep learning algorithms that can be applied in the healthcare sector to reduce the time needed by doctors, radiologists, and other medical professionals to analyze, predict, and diagnose conditions with accurate results. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Edité par Taylor & Francis Ltd, London, 2024
ISBN 10 : 1032108827 ISBN 13 : 9781032108827
Langue: anglais
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 72,42
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Ajouter au panierPaperback. Etat : new. Paperback. The application of machine learning is growing exponentially into every branch of business and science, including medical science. This book presents the integration of machine learning (ML) and deep learning (DL) algorithms that can be applied in the healthcare sector to reduce the time required by doctors, radiologists, and other medical professionals for analyzing, predicting, and diagnosing the conditions with accurate results. The book offers important key aspects in the development and implementation of ML and DL approaches toward developing prediction tools and models and improving medical diagnosis. The contributors explore the recent trends, innovations, challenges, and solutions, as well as case studies of the applications of ML and DL in intelligent system-based disease diagnosis. The chapters also highlight the basics and the need for applying mathematical aspects with reference to the development of new medical models. Authors also explore ML and DL in relation to artificial intelligence (AI) prediction tools, the discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, and pattern recognition approaches to functional magnetic resonance imaging images. This book is for students and researchers of computer science and engineering, electronics and communication engineering, and information technology; for biomedical engineering researchers, academicians, and educators; and for students and professionals in other areas of the healthcare sector. Presents key aspects in the development and the implementation of ML and DL approaches toward developing prediction tools, models, and improving medical diagnosis Discusses the recent trends, innovations, challenges, solutions, and applications of intelligent system-based disease diagnosis Examines DL theories, models, and tools to enhance health information systems Explores ML and DL in relation to AI prediction tools, discovery of drugs, neuroscience, and diagnosis in multiple imaging modalitiesDr. K. Gayathri Devi is a Professor at the Department of Electronics and Communication Engineering, Dr. N.G.P Institute of Technology, Tamil Nadu, India. Dr. Kishore Balasubramanian is an Assistant Professor (Senior Scale) at the Department of EEE at Dr. Mahalingam College of Engineering & Technology, Tamil Nadu, India. Dr. Le Anh Ngoc is a Director of Swinburne Innovation Space and Professor in Swinburne University of Technology (Vietnam). This book presents the integration of machine learning and deep learning algorithms that can be applied in the healthcare sector to reduce the time needed by doctors, radiologists, and other medical professionals to analyze, predict, and diagnose conditions with accurate results. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Ajouter au panierEtat : New.
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Ajouter au panierEtat : New. 1st edition NO-PA16APR2015-KAP.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 195,40
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Ajouter au panierEtat : New. In.