Diagnosis of Neurological Disorders Based on Deep Learning Techniques

This book is based on deep learning approaches used for the diagnosis of neurological disorders, including basics of deep learning algorithms using diagrams, data tables, and practical examples, for diagnosis of neurodegenerative and neurodevelopmental disorders. It includes application of feed-forward neural networks, deep generative models, convolutional neural networks, graph convolutional networks, and recurrent neural networks in the field of diagnosis of neurological disorders. Along with this, data preprocessing including scaling, correction, trimming, and normalization is also included.

• Offers a detailed description of the deep learning approaches used for the diagnosis of neurological disorders.
• Demonstrates concepts of deep learning algorithms using diagrams, data tables, and examples for the diagnosis of neurodegenerative, neurodevelopmental, and psychiatric disorders.
• Helps build, train, and deploy different types of deep architectures for diagnosis.
• Explores data preprocessing techniques involved in diagnosis.
• Includes real-time case studies and examples.

This book is aimed at graduate students and researchers in biomedical imaging and machine learning.

本書基於深度學習方法，用於診斷神經系統疾病，包括使用圖表、數據表格和實際例子介紹深度學習算法的基礎，用於診斷神經退行性和神經發育性疾病。書中介紹了前饋神經網絡、深度生成模型、卷積神經網絡、圖卷積神經網絡和循環神經網絡在神經系統疾病診斷領域的應用。此外，還包括數據預處理，包括縮放、校正、修剪和正規化。

本書具體描述了用於診斷神經系統疾病的深度學習方法。

通過圖表、數據表格和例子演示了深度學習算法的概念，用於診斷神經退行性、神經發育性和精神疾病。

幫助構建、訓練和部署不同類型的深度結構，用於診斷。

探索涉及診斷的數據預處理技術。

包括實時案例研究和例子。

本書針對生物醫學影像和機器學習的研究生和研究人員。

Jyotismita Chaki, PhD, is an Associate Professor in School of Computer Science and Engineering at Vellore Institute of Technology, Vellore, India. She gained her PhD (Engg.) from Jadavpur University, Kolkata, India. Her research interests include computer vision and image processing, pattern recognition, medical imaging, artificial intelligence, and machine learning. Jyotismita has authored more than 40 international conference and journal papers and is the author and editor of more than eight books. Currently, she is the Academic Editor of PLOS One journal and PeerJ Computer Science journal and Associate Editor of IET Image Processing journal, Array journal, and Machine Learning with Applications journal.

Jyotismita Chaki博士是印度維洛爾理工學院(Vellore Institute of Technology)計算機科學與工程學院的副教授。她在印度加爾各答的賈達普爾大學(Jadavpur University)獲得了工學博士學位。她的研究興趣包括計算機視覺和圖像處理、模式識別、醫學影像、人工智能和機器學習。Jyotismita已經撰寫了40多篇國際會議和期刊論文，並且是八本書的作者和編輯。目前，她是《PLOS One》期刊和《PeerJ Computer Science》期刊的學術編輯，並且是《IET Image Processing》期刊、《Array》期刊和《Machine Learning with Applications》期刊的副編輯。