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Titlebook: Computational Molecular Magnetic Resonance Imaging for Neuro-oncology; Michael O. Dada,Bamidele O. Awojoyogbe Book 2021 The Editor(s) (if

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發(fā)表于 2025-3-21 18:35:27 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Molecular Magnetic Resonance Imaging for Neuro-oncology
編輯Michael O. Dada,Bamidele O. Awojoyogbe
視頻videohttp://file.papertrans.cn/233/232848/232848.mp4
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
叢書名稱Biological and Medical Physics, Biomedical Engineering
圖書封面Titlebook: Computational Molecular Magnetic Resonance Imaging for Neuro-oncology;  Michael O. Dada,Bamidele O. Awojoyogbe Book 2021 The Editor(s) (if
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
關(guān)鍵詞Computational Magnetic Resonance Imaging; Neurocomputing; Neuro oncology; Bloch NMR flow equation; Machi
版次1
doihttps://doi.org/10.1007/978-3-030-76728-0
isbn_softcover978-3-030-76730-3
isbn_ebook978-3-030-76728-0Series ISSN 1618-7210 Series E-ISSN 2197-5647
issn_series 1618-7210
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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