Computational Molecular Magnetic Resonance Imaging for Neuro-oncology

Download or Read eBook Computational Molecular Magnetic Resonance Imaging for Neuro-oncology PDF written by Michael O. Dada and published by Springer Nature. This book was released on 2021-07-31 with total page 412 pages. Available in PDF, EPUB and Kindle.
Computational Molecular Magnetic Resonance Imaging for Neuro-oncology
Author :
Publisher : Springer Nature
Total Pages : 412
Release :
ISBN-10 : 9783030767280
ISBN-13 : 3030767280
Rating : 4/5 (80 Downloads)

Book Synopsis Computational Molecular Magnetic Resonance Imaging for Neuro-oncology by : Michael O. Dada

Book excerpt: 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 T1 and T2 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.


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