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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Paperback. Condizione: new. Paperback. This book aims to provide physicians and scientists with the basics of Artificial Intelligence (AI) with a special focus on medical imaging. The contents of the book provide an introduction to the main topics of artificial intelligence currently applied on medical image analysis. The book starts with a chapter explaining the basic terms used in artificial intelligence for novice readers and embarks on a series of chapters each one of which provides the basics on one AI-related topic. The second chapter presents the programming languages and available automated tools that enable the development of AI applications for medical imaging. The third chapter endeavours to analyse the main traditional machine learning techniques, explaining algorithms such as random forests, support vector machines as well as basic neural networks. The applications of those machines on the analysis of radiomics data is expanded in the fourth chapter to allow the understanding of algorithms used to build classifiers for the diagnosis of disease processes with the use of radiomics. Chapter five provides the basics of natural language processing which has revolutionized the analysis of complex radiological reports and chapter six affords a succinct introduction to convolutional neural networks which have revolutionized medical image analysis enabling automated image-based diagnosis, image enhancement (e.g. denoising), protocolling etc. The penultimate chapter provides an introduction to data preprocessing for use in the aforementioned artificial intelligence applications. The book concludes with a chapter demonstrating AI-based tools already in radiological practice while providing an insight about the foreseeable future.It will be a valuable resource for radiologists, computer scientists and postgraduate students working on medical image analysis. Chapter five provides the basics of natural language processing which has revolutionized the analysis of complex radiological reports and chapter six affords a succinct introduction to convolutional neural networks which have revolutionized medical image analysis enabling automated image-based diagnosis, image enhancement (e.g. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condizione: New.

Condizione: New.

Paperback. Condizione: Brand New. 1st edition. 165 pages. 8.25x5.25x0.50 inches. In Stock.

Paperback. Condizione: Brand New. In Stock.

Taschenbuch. Condizione: Neu. Neuware -This volume provides the essential topics necessary for understanding the sustainability of AI in healthcare while ensuring the content is educational and informative for residents in training and professionals in radiology/healthcare and in other related fields. The volume sets the foundations of the topic describing sustainability, current technology and its environmental impact, energy needs in healthcare/radiology and associated energy expenditure while presenting the unique challenges related to the current uses of AI in hospital systems. Finally, it proposes measures for a sustainable future for the establishment of AI in healthcare.

Condizione: New.

Condizione: New.

Paperback. Condizione: new. Paperback. This book aims to provide physicians and scientists with the basics of Artificial Intelligence (AI) with a special focus on medical imaging. The contents of the book provide an introduction to the main topics of artificial intelligence currently applied on medical image analysis. The book starts with a chapter explaining the basic terms used in artificial intelligence for novice readers and embarks on a series of chapters each one of which provides the basics on one AI-related topic. The second chapter presents the programming languages and available automated tools that enable the development of AI applications for medical imaging. The third chapter endeavours to analyse the main traditional machine learning techniques, explaining algorithms such as random forests, support vector machines as well as basic neural networks. The applications of those machines on the analysis of radiomics data is expanded in the fourth chapter to allow the understanding of algorithms used to build classifiers for the diagnosis of disease processes with the use of radiomics. Chapter five provides the basics of natural language processing which has revolutionized the analysis of complex radiological reports and chapter six affords a succinct introduction to convolutional neural networks which have revolutionized medical image analysis enabling automated image-based diagnosis, image enhancement (e.g. denoising), protocolling etc. The penultimate chapter provides an introduction to data preprocessing for use in the aforementioned artificial intelligence applications. The book concludes with a chapter demonstrating AI-based tools already in radiological practice while providing an insight about the foreseeable future.It will be a valuable resource for radiologists, computer scientists and postgraduate students working on medical image analysis. Chapter five provides the basics of natural language processing which has revolutionized the analysis of complex radiological reports and chapter six affords a succinct introduction to convolutional neural networks which have revolutionized medical image analysis enabling automated image-based diagnosis, image enhancement (e.g. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

Taschenbuch. Condizione: Neu. Sustainability of AI in Radiology | Erik R. Ranschaert (u. a.) | Taschenbuch | Imaging Informatics for Healthcare Professionals | x | Englisch | 2026 | Springer | EAN 9783032156921 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims to provide physicians and scientists with the basics of Artificial Intelligence (AI) with a special focus on medical imaging. The contents of the book provide an introduction to the main topics of artificial intelligence currently applied on medical image analysis. The book starts with a chapter explaining the basic terms used in artificial intelligence for novice readers and embarks on a series of chapters each one of which provides the basics on one AI-related topic. The second chapter presents the programming languages and available automated tools that enable the development of AI applications for medical imaging. The third chapter endeavours to analyse the main traditional machine learning techniques, explaining algorithms such as random forests, support vector machines as well as basic neural networks. The applications of those machines on the analysis of radiomics data is expanded in the fourth chapter to allow the understanding of algorithms used to build classifiers for the diagnosis of disease processes with the use of radiomics. Chapter five provides the basics of natural language processing which has revolutionized the analysis of complex radiological reports and chapter six affords a succinct introduction to convolutional neural networks which have revolutionized medical image analysis enabling automated image-based diagnosis, image enhancement (e.g. denoising), protocolling etc. The penultimate chapter provides an introduction to data preprocessing for use in the aforementioned artificial intelligence applications.The book concludes with a chapter demonstrating AI-based tools already in radiological practice while providing an insight about the foreseeable future.It will be a valuable resource for radiologists, computer scientists and postgraduate students working on medical image analysis.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume provides the essential topics necessary for understanding the sustainability of AI in healthcare while ensuring the content is educational and informative for residents in training and professionals in radiology/healthcare and in other related fields. The volume sets the foundations of the topic describing sustainability, current technology and its environmental impact, energy needs in healthcare/radiology and associated energy expenditure while presenting the unique challenges related to the current uses of AI in hospital systems. Finally, it proposes measures for a sustainable future for the establishment of AI in healthcare.

Taschenbuch. Condizione: Neu. Neuware -This volume provides the essential topics necessary for understanding the sustainability of AI in healthcare while ensuring the content is educational and informative for residents in training and professionals in radiology/healthcare and in other related fields. The volume sets the foundations of the topic describing sustainability, current technology and its environmental impact, energy needs in healthcare/radiology and associated energy expenditure while presenting the unique challenges related to the current uses of AI in hospital systems. Finally, it proposes measures for a sustainable future for the establishment of AI in healthcare. 184 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume provides the essential topics necessary for understanding the sustainability of AI in healthcare while ensuring the content is educational and informative for residents in training and professionals in radiology/healthcare and in other related fields. The volume sets the foundations of the topic describing sustainability, current technology and its environmental impact, energy needs in healthcare/radiology and associated energy expenditure while presenting the unique challenges related to the current uses of AI in hospital systems. Finally, it proposes measures for a sustainable future for the establishment of AI in healthcare. 184 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume provides the essential topics necessary for understanding the sustainability of AI in healthcare while ensuring the content is educational and informative for residents in training and professionals in radiology/healthcare and in other related fields. The volume sets the foundations of the topic describing sustainability, current technology and its environmental impact, energy needs in healthcare/radiology and associated energy expenditure while presenting the unique challenges related to the current uses of AI in hospital systems. Finally, it proposes measures for a sustainable future for the establishment of AI in healthcare. 171 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book aims to provide physicians and scientists with the basics of Artificial Intelligence (AI) with a special focus on medical imaging. The contents of the book provide an introduction to the main topics of artificial intelligence currently applied on medical image analysis. The book starts with a chapter explaining the basic terms used in artificial intelligence for novice readers and embarks on a series of chapters each one of which provides the basics on one AI-related topic. The second chapter presents the programming languages and available automated tools that enable the development of AI applications for medical imaging. The third chapter endeavours to analyse the main traditional machine learning techniques, explaining algorithms such as random forests, support vector machines as well as basic neural networks. The applications of those machines on the analysis of radiomics data is expanded in the fourth chapter to allow the understanding of algorithms used to build classifiers for the diagnosis of disease processes with the use of radiomics. Chapter five provides the basics of natural language processing which has revolutionized the analysis of complex radiological reports and chapter six affords a succinct introduction to convolutional neural networks which have revolutionized medical image analysis enabling automated image-based diagnosis, image enhancement (e.g. denoising), protocolling etc. The penultimate chapter provides an introduction to data preprocessing for use in the aforementioned artificial intelligence applications.The book concludes with a chapter demonstrating AI-based tools already in radiological practice while providing an insight about the foreseeable future.It will be a valuable resource for radiologists, computer scientists and postgraduate students working on medical image analysis. 176 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book aims to provide physicians and scientists with the basics of Artificial Intelligence (AI) with a special focus on medical imaging. The contents of the book provide an introduction to the main topics of artificial intelligence currently applied .

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume provides the essential topics necessary for understanding the sustainability of AI in healthcare while ensuring the content is educational and informative for residents in training and professionals in radiology/healthcare and in other related fields. The volume sets the foundations of the topic describing sustainability, current technology and its environmental impact, energy needs in healthcare/radiology and associated energy expenditure while presenting the unique challenges related to the current uses of AI in hospital systems. Finally, it proposes measures for a sustainable future for the establishment of AI in healthcare. 184 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book aims to provide physicians and scientists with the basics of Artificial Intelligence (AI) with a special focus on medical imaging. The contents of the book provide an introduction to the main topics of artificial intelligence currently applied on medical image analysis. The book starts with a chapter explaining the basic terms used in artificial intelligence for novice readers and embarks on a series of chapters each one of which provides the basics on one AI-related topic. The second chapter presents the programming languages and available automated tools that enable the development of AI applications for medical imaging. The third chapter endeavours to analyse the main traditional machine learning techniques, explaining algorithms such as random forests, support vector machines as well as basic neural networks. The applications of those machines on the analysis of radiomics data is expanded in the fourth chapter to allow the understanding of algorithms used to build classifiers for the diagnosis of disease processes with the use of radiomics. Chapter five provides the basics of natural language processing which has revolutionized the analysis of complex radiological reports and chapter six affords a succinct introduction to convolutional neural networks which have revolutionized medical image analysis enabling automated image-based diagnosis, image enhancement (e.g. denoising), protocolling etc. The penultimate chapter provides an introduction to data preprocessing for use in the aforementioned artificial intelligence applications. The book concludes with a chapter demonstrating AI-based tools already in radiological practice while providing an insight about the foreseeable future.It will be a valuable resource for radiologists, computer scientists and postgraduate students working on medical image analysis.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 176 pp. Englisch.