Computational Molecular Magnetic Resonance Imaging for Neuro-oncology (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Biological and Medical Physics, Biomedical Engineering
Release date:	August 2022
First published:	2021
Authors:	Michael O. Dada • Bamidele O. Awojoyogbe
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	389
Edition:	1st ed. 2021
ISBN-13:	978-3-03-076730-3
Categories:	Books > Medicine > Clinical & internal medicine > Neurology & clinical neurophysiology Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Science & Mathematics > Physics > Quantum physics (quantum mechanics) > General Books > Science & Mathematics > Physics > Applied physics & special topics > Biophysics Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology > General
LSN:	3-03-076730-2
Barcode:	9783030767303

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