Machine Learning and Deep Learning in Neuroimaging Data Analysis

Machine Learning (ML) and Deep Learning (DL) have become essential tools in healthcare. They are capable of processing enormous amounts of data to find patterns and are also adopted into methods that manage and make sense of healthcare data, either electronic healthcare records or medical imagery. This book explores how ML/DL can assist neurologists in identifying, classifying or predicting neurological problems that require neuroimaging. With the ability to model high dimensional datasets, supervised learning algorithms can help in relating brain images to behavioral or clinical observations and unsupervised learning can uncover hidden structures/patterns in images. Bringing together both AI experts as well as medical practitioners, chapters cover the majority of neuro problems that use neuroimaging for diagnosis, along with case studies and directions for future research.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Release date:	2024
First published:	2024
Editors:	Anitha S. Pillai • Bindu Menon
Dimensions:	254 x 178mm (L x W)
Pages:	160
ISBN-13:	978-1-03-219068-6
Categories:	Books
LSN:	1-03-219068-X
Barcode:	9781032190686

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