DIAGNOSIS OF NEUROLOGICAL DISORDERS BASED ON DEEP LEARNING TECHNIQUES (HB 2023) Hardcover

This book focuses on the use of deep learning techniques for diagnosing neurological disorders, covering the fundamentals of deep learning algorithms through diagrams, data tables, and practical examples. It explores the application of various models, including feed-forward neural networks, deep generative models, convolutional neural networks, graph convolutional networks, and recurrent neural networks, in the diagnosis of neurodegenerative and neurodevelopmental disorders. Additionally, it addresses essential data preprocessing methods, such as scaling, correction, trimming, and normalization.