Machine Learning and Deep Learning in Neuroimaging Data Analysis

Machine learning and deep learning are essential tools in healthcare for managing and making sense of healthcare data, such as electronic healthcare records or medical imagery. This book explores how they can assist neurologists in identifying, classifying, or predicting neurological problems that require neuroimaging, with supervised learning algorithms helping to relate brain images to behavioral or clinical observations and unsupervised learning uncovering hidden structures/patterns in images.

Format: Hardback
Length: 160 pages
Publication date: 04 December 2023
Publisher: Taylor & Francis Ltd

Machine learning (ML) and deep learning (DL) have emerged as indispensable tools in the healthcare realm, revolutionizing the way we handle and interpret healthcare data. These powerful technologies possess the remarkable ability to process vast volumes of data, enabling them to uncover intricate patterns and insights. Their integration into methods for managing and analyzing electronic healthcare records and medical imagery has become widespread. In this comprehensive book, we delve into the transformative potential of ML/DL in assisting neurologists in identifying, classifying, and predicting neurological problems that necessitate neuroimaging.

By leveraging supervised learning algorithms, these technologies enable us to establish meaningful connections between brain images and behavioral or clinical observations. This groundbreaking approach allows neurologists to gain a deeper understanding of the underlying mechanisms behind neurological disorders, facilitating accurate diagnoses and personalized treatment plans. Moreover, unsupervised learning techniques empower us to uncover hidden structures and patterns within images, providing valuable insights into the intricate workings of the brain.

To bring together the expertise of AI specialists and medical practitioners, this book encompasses a wide range of neuro problems that utilize neuroimaging for diagnosis. Each chapter is authored by leading experts in the field, providing comprehensive coverage of various topics. Additionally, case studies and future research directions are included, offering valuable insights into the practical applications of ML/DL in neurology.

As we continue to advance in the field of healthcare, ML/DL holds immense promise in improving patient outcomes and advancing our understanding of the human brain. By leveraging the power of these technologies, we can unlock new frontiers in neurology and pave the way for personalized medicine and innovative treatments.

Dimension: 254 x 178 (mm)
ISBN-13: 9781032190686