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Machine Learning and Deep Learning in Neuroimaging Data Analysis

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Book Details
Language
English
Publishers
CRC Press; 1st edition (15 Feb. 2024)
Weight
0.45 KG
Publication Date
15/02/2024
ISBN-10
103219068X
Pages
124 pages
ISBN-13
9781032190686
Dimensions
25.4 x 17.8 x 0.88 cm
SKU
9781032190686
Author Name
Anitha S. Pillai (Editor)
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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 artificial intelligence (AI) experts as well as medical practitioners, these chapters cover the majority of neuro problems that use neuroimaging for diagnosis, along with case studies and directions for future research. .

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