Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/19363
Title: DEEP LEARNING ASSESSMENT OF NEUROLOGICAL IMAGING
Authors: Tanveer, M.
Issue Date: 2026
Publisher: Elsevier
Citation: Goel, T., Tanveer, M., Hussain, A., & Hussain, Z. (2026). DEEP LEARNING ASSESSMENT OF NEUROLOGICAL IMAGING (p. 224). Elsevier. https://doi.org/10.1016/C2024-0-00066-5
Abstract: 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. Copyright © 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
URI: https://dx.doi.org/10.1016/C2024-0-00066-5
https://dspace.iiti.ac.in/handle/123456789/19363
ISBN: 978-044330291-6
Type of Material: Book
Appears in Collections:Department of Mathematics

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: