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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 |
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