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Auto-Segmentation for Radiation Oncology: State of the Art
Published by Taylor & Francis Ltd, 2023
ISBN 10: 036776122X ISBN 13: 9780367761226
Language: English
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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 453.
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Auto-Segmentation for Radiation Oncology : State of the Art
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Auto-Segmentation for Radiation Oncology: State of the Art (Series in Medical Physics and Biomedical Engineering)
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Auto-Segmentation for Radiation Oncology : State of the Art
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Auto-Segmentation for Radiation Oncology: State of the Art
Published by Taylor & Francis Ltd, 2023
ISBN 10: 036776122X ISBN 13: 9780367761226
Language: English
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Auto-Segmentation for Radiation Oncology: State of the Art
Published by Taylor & Francis Ltd, 2023
ISBN 10: 036776122X ISBN 13: 9780367761226
Language: English
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£ 58.84
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Add to basketCondition: New. Jinzhong Yang earned his BS and MS degrees in Electrical Engineering from the University ofScience and Technology of China, in 1998 and 2001, and his PhD degree in Electrical Engineeringfrom Lehigh University in 2006. In Ju.
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Paperback. Condition: Brand New. 274 pages. 10.00x7.00x0.75 inches. In Stock.
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Auto-Segmentation for Radiation Oncology : State of the Art
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Auto-Segmentation for Radiation Oncology : State of the Art
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Auto-Segmentation for Radiation Oncology: State of the Art
Published by Taylor & Francis Ltd, 2021
ISBN 10: 0367336006 ISBN 13: 9780367336004
Language: English
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Auto-Segmentation for Radiation Oncology: State of the Art (Series in Medical Physics and Biomedical Engineering)
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Hardcover. Condition: Brand New. 256 pages. 10.00x7.00x0.75 inches. In Stock.
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Auto-Segmentation for Radiation Oncology
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Add to basketPAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Paperback. Condition: Brand New. 274 pages. 10.00x7.00x0.75 inches. In Stock. This item is printed on demand.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a comprehensive introduction to current state-of-the-art auto-segmentation approaches used in radiation oncology for auto-delineation of organs-of-risk for thoracic radiation treatment planning. Containing the latest, cutting edge technologies and treatments, it explores deep-learning methods, multi-atlas-based methods, and model-based methods that are currently being developed for clinical radiation oncology applications. Each chapter focuses on a specific aspect of algorithm choices and discusses the impact of the different algorithm modules to the algorithm performance as well as the implementation issues for clinical use (including data curation challenges and auto-contour evaluations).This book is an ideal guide for radiation oncology centers looking to learn more about potential auto-segmentation tools for their clinic in addition to medical physicists commissioning auto-segmentation for clinical use.Features:Up-to-date with the latest technologies in the fieldEdited by leading authorities in the area, with chapter contributions from subject area specialistsAll approaches presented in this book are validated using a standard benchmark dataset established by the Thoracic Auto-segmentation Challenge held as an event of the 2017 Annual Meeting of American Association of Physicists in Medicine.
