| 书目名称 | Computational Molecular Magnetic Resonance Imaging for Neuro-oncology | | 编辑 | Michael O. Dada,Bamidele O. Awojoyogbe | | 视频video | | | 概述 | Facilitates fast, cost effective, reliable diagnosis, therapy and patient management.Provides computer programs that are easy to use and highly interactive, with fast and unambiguous data processing.A | | 丛书名称 | Biological and Medical Physics, Biomedical Engineering | | 图书封面 |  | | 描述 | Based on the analytical methods and the computer programs presented in this book, all that may be needed to perform MRI tissue diagnosis is the availability of relaxometric data and simple computer program proficiency. These programs are easy to use, highly interactive and the data processing is fast and unambiguous.. Laboratories (with or without sophisticated facilities) can perform computational magnetic resonance diagnosis with only T.1. and T.2. relaxation data.. The results have motivated the use of data to produce data-driven predictions required for machine learning, artificial intelligence (AI) and deep learning for multidisciplinary and interdisciplinary research. Consequently, this book is intended to be very useful for students, scientists, engineers, the medical personnel and researchers who are interested in developing new concepts for deeper appreciation of computational magnetic resonance imaging for medical diagnosis, prognosis, therapy and management of tissue diseases. | | 出版日期 | Book 2021 | | 关键词 | Computational Magnetic Resonance Imaging; Neurocomputing; Neuro oncology; Bloch NMR flow equation; Machi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-76728-0 | | isbn_softcover | 978-3-030-76730-3 | | isbn_ebook | 978-3-030-76728-0Series ISSN 1618-7210 Series E-ISSN 2197-5647 | | issn_series | 1618-7210 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 18:35:27
