Deep Learning Assessment of Neurological Imaging provides an introduction to deep learning structures and pre-processing methods for detecting MRI anomalies. It also provides a comprehensive account of deep learning research on MRI images for Alzheimer's disease, Parkinson's disease, and schizophrenia, and a discussion on current research issues and future objectives. The book is a valuable resource to guide new entrants in the field to make a meaningful impact in their development efforts. The book concludes with a brief overview of the problems discussed and potential future advancements in the field.

• Introduces Deep Learning structures and pre-processing methods for detecting MRI anomalies
• Discuss current research issues and future research objectives
• Compares a new method using open-access benchmark datasets using Deep Learning on MRI images to detect and classify Alzheimer's Disease, Parkinson's Disease, and Schizophrenia