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Zustand: New. pp. 392.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 65,44
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In den WarenkorbZustand: New. pp. 392.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
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In den WarenkorbPaperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 392 pages. 10.00x7.01x0.98 inches. In Stock.
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. 2nd ed. 2022 edition NO-PA16APR2015-KAP.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 108,73
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In den WarenkorbZustand: New.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New.
Taschenbuch. Zustand: Neu. A Guide to Outcome Modeling In Radiotherapy and Oncology | Listening to the Data | Issam El Naqa | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | CRC Press | EAN 9780367572082 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing, Springer Nature Switzerland Okt 2016, 2016
ISBN 10: 3319354647 ISBN 13: 9783319354644
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -¿This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 352 pp. Englisch.
Sprache: Englisch
Verlag: Springer International Publishing, 2016
ISBN 10: 3319354647 ISBN 13: 9783319354644
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 155,60
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 529 pages. 9.25x6.10x1.22 inches. In Stock.
Sprache: Englisch
Verlag: Springer International Publishing, 2023
ISBN 10: 3030830497 ISBN 13: 9783030830496
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Machine and Deep Learning in Oncology, Medical Physics and Radiology | Martin J. Murphy (u. a.) | Taschenbuch | xvi | Englisch | 2023 | Springer International Publishing | EAN 9783030830496 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Zustand: New.
Sprache: Englisch
Verlag: Taylor & Francis Inc, Bosa Roca, 2018
ISBN 10: 1498768059 ISBN 13: 9781498768054
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Hardcover. Zustand: new. Hardcover. This book explores outcome modeling in cancer from a data-centric perspective to enable a better understanding of complex treatment response, to guide the design of advanced clinical trials, and to aid personalized patient care and improve their quality of life. It contains coverage of the relevant data sources available for model construction (panomics), ranging from clinical or preclinical resources to basic patient and treatment characteristics, medical imaging (radiomics), and molecular biological markers such as those involved in genomics, proteomics and metabolomics. It also includes discussions on the varying methodologies for predictive model building with analytical and data-driven approaches.This book is primarily intended to act as a tutorial for newcomers to the field of outcome modeling, as it includes in-depth how-to recipes on modeling artistry while providing sufficient instruction on how such models can approximate the physical and biological realities of clinical treatment. The book will also be of value to seasoned practitioners as a reference on the varying aspects of outcome modeling and their current applications.Features:Covers top-down approaches applying statistical, machine learning, and big data analytics and bottom-up approaches using first principles and multi-scale techniques, including numerical simulations based on Monte Carlo and automata techniquesProvides an overview of the available software tools and resources for outcome model development and evaluation, and includes hands-on detailed examples throughout Presents a diverse selection of the common applications of outcome modeling in a wide variety of areas: treatment planning in radiotherapy, chemotherapy and immunotherapy, utility-based and biomarker applications, particle therapy modeling, oncological surgery, and the design of adaptive and SMART clinical trials This book serves as a tutorial for newcomers to the field of outcome modeling; including in-depth how-to recipes on modeling artistry and providing instructions on how such models can approximate the physical and biological realities of clinical treatment. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 145,96
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In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 350 pages. 9.25x6.10x0.83 inches. In Stock.
Sprache: Englisch
Verlag: Springer International Publishing, 2023
ISBN 10: 3030830497 ISBN 13: 9783030830496
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book, now in an extensively revised and updated second edition, provides a comprehensive overview of both machine learning and deep learning and their role in oncology, medical physics, and radiology. Readers will find thorough coverage of basic theory, methods, and demonstrative applications in these fields. An introductory section explains machine and deep learning, reviews learning methods, discusses performance evaluation, and examines software tools and data protection. Detailed individual sections are then devoted to the use of machine and deep learning for medical image analysis, treatment planning and delivery, and outcomes modeling and decision support. Resources for varying applications are provided in each chapter, and software code is embedded as appropriate for illustrative purposes. The book will be invaluable for students and residents in medical physics, radiology, and oncology and will also appeal to more experienced practitioners and researchers and members ofapplied machine learning communities.
Sprache: Englisch
Verlag: Springer, Berlin, Springer International Publishing, Springer, 2015
ISBN 10: 3319183044 ISBN 13: 9783319183046
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.
Zustand: As New. Unread book in perfect condition.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 202,74
Anzahl: 3 verfügbar
In den WarenkorbZustand: New.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 196,52
Anzahl: 3 verfügbar
In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 202,90
Anzahl: 3 verfügbar
In den WarenkorbZustand: New.
Zustand: New.
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
EUR 202,91
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In den WarenkorbHardback. Zustand: New. New copy - Usually dispatched within 4 working days.
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
EUR 202,47
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In den Warenkorbpaperback. Zustand: New. New. book.