Description
Machine Learning for Neurodegenerative Disorders provides an in-depth examination of artificial intelligence applications in identifying and analyzing neurodegenerative diseases through advanced biomedical imaging. This 2025 hardcover edition combines theoretical foundations with practical implementations of machine learning algorithms for medical image processing.
The book covers essential topics including deep learning architectures for neuroimaging, pattern recognition in MRI and CT scans, and predictive analytics for disease progression. Authored by Biswajit Jena, Sanjay Saxena, and Sudip Paul, the work addresses current challenges in early diagnosis and treatment planning for conditions like Alzheimer’s, Parkinson’s, and ALS.
Ideal for researchers, clinicians, and biomedical engineers, this resource bridges the gap between machine learning methodology and clinical neurology, offering practical solutions for improving patient outcomes through intelligent image analysis.
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