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