Handbook of Decision Support Systems for Neurological Disorders

Handbook of Decision Support Systems for Neurological Disorders provides readers with complete coverage of advanced computer-aided  diagnosis systems for neurological disorders. While computer-aided  decision support systems for different medical imaging modalities are  available, this is the first book to solely concentrate on decision  support systems for neurological disorders. Due to the increase in the  prevalence of diseases such as Alzheimer, Parkinson’s and Dementia, this  book will have significant importance in the medical field. Topics  discussed include recent computational approaches, different types of  neurological disorders, deep convolution neural networks, generative  adversarial networks, auto encoders, recurrent neural networks, and  modified/hybrid artificial neural networks.

• Includes  applications of computer intelligence and decision support systems for  the diagnosis and analysis of a variety of neurological disorders
• Presents  in-depth, technical coverage of computer-aided systems for tumor image  classification, Alzheimer’s disease detection, dementia detection using  deep belief neural networks, and morphological approaches for stroke  detection
• Covers  disease diagnosis for cerebral palsy using auto-encoder approaches,  contrast enhancement for performance enhanced diagnosis systems, autism  detection using fuzzy logic systems, and autism detection using  generative adversarial networks
• Written  by engineers to help engineers, computer scientists, researchers and  clinicians understand the technology and applications of decision  support systems for neurological disorders