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.
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