| 书目名称 | Machine and Deep Learning in Oncology, Medical Physics and Radiology | | 编辑 | Issam El Naqa,Martin J. Murphy | | 视频video | | | 概述 | Reference text for machine and deep learning in oncology, medical physics, and radiology.From theory to practice with examples.Provides a complete overview of the role of machine learning in radiation | | 图书封面 |  | | 描述 | .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.. . | | 出版日期 | Book 2022Latest edition | | 关键词 | Machine Learning; Deep Learning; Artificial Intelligence; Medical Physics; Image Analysis; Decision Suppo | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-030-83047-2 | | isbn_softcover | 978-3-030-83049-6 | | isbn_ebook | 978-3-030-83047-2 | | copyright | Springer Nature Switzerland AG 2022 |
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书目名称Machine and Deep Learning in Oncology, Medical Physics and Radiology影响因子(影响力)学科排名
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书目名称Machine and Deep Learning in Oncology, Medical Physics and Radiology被引频次
书目名称Machine and Deep Learning in Oncology, Medical Physics and Radiology被引频次学科排名
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发表于 2025-3-21 19:01:37
