Artificial Intelligence for Neurological Disorders

This book PDF is perfect for those who love Medical genre, written by Ajith Abraham and published by Academic Press which was released on 23 September 2022 with total hardcover pages 434. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Artificial Intelligence for Neurological Disorders books below.

Artificial Intelligence for Neurological Disorders
Author : Ajith Abraham
File Size : 48,6 Mb
Publisher : Academic Press
Language : English
Release Date : 23 September 2022
ISBN : 9780323902786
Pages : 434 pages
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Artificial Intelligence for Neurological Disorders by Ajith Abraham Book PDF Summary

Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks and image processing methods. Chapters include AI techniques for the early detection of neurological disease and deep learning applications using brain imaging methods like EEG, MEG, fMRI, fNIRS and PET for seizure prediction or neuromuscular rehabilitation. The goal of this book is to provide readers with broad coverage of these methods to encourage an even wider adoption of AI, Machine Learning and Big Data Analytics for problem-solving and stimulating neurological research and therapy advances. Discusses various AI and ML methods to apply for neurological research Explores Deep Learning techniques for brain MRI images Covers AI techniques for the early detection of neurological diseases and seizure prediction Examines cognitive therapies using AI and Deep Learning methods

Artificial Intelligence for Neurological Disorders

Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing,

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