Deep Learning For Neurological Disorders In Children
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Deep Learning For Neurological Disorders In Children
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Author : Saman Sargolzaei
language : en
Publisher: Frontiers Media SA
Release Date : 2022-12-02
Deep Learning For Neurological Disorders In Children written by Saman Sargolzaei and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-02 with Science categories.
Diagnosis Of Neurological Disorders Based On Deep Learning Techniques
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Author : Jyotismita Chaki
language : en
Publisher: CRC Press
Release Date : 2023-05-15
Diagnosis Of Neurological Disorders Based On Deep Learning Techniques written by Jyotismita Chaki and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-15 with Computers categories.
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.
Deep Learning For Eeg Based Brain Computer Interfaces Representations Algorithms And Applications
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Author : Xiang Zhang
language : en
Publisher: World Scientific
Release Date : 2021-09-14
Deep Learning For Eeg Based Brain Computer Interfaces Representations Algorithms And Applications written by Xiang Zhang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-14 with Computers categories.
Deep Learning for EEG-Based Brain-Computer Interfaces is an exciting book that describes how emerging deep learning improves the future development of Brain-Computer Interfaces (BCI) in terms of representations, algorithms and applications. BCI bridges humanity's neural world and the physical world by decoding an individuals' brain signals into commands recognizable by computer devices.This book presents a highly comprehensive summary of commonly-used brain signals; a systematic introduction of around 12 subcategories of deep learning models; a mind-expanding summary of 200+ state-of-the-art studies adopting deep learning in BCI areas; an overview of a number of BCI applications and how deep learning contributes, along with 31 public BCI data sets. The authors also introduce a set of novel deep learning algorithms aimed at current BCI challenges such as robust representation learning, cross-scenario classification, and semi-supervised learning. Various real-world deep learning-based BCI applications are proposed and some prototypes are presented. The work contained within proposes effective and efficient models which will provide inspiration for people in academia and industry who work on BCI.Related Link(s)
Handbook Of Decision Support Systems For Neurological Disorders
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Author : D. Jude Hemanth
language : en
Publisher: Academic Press
Release Date : 2021-03-30
Handbook Of Decision Support Systems For Neurological Disorders written by D. Jude Hemanth and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-30 with Science categories.
Handbook of Decision Support Systems for Neurological Disorders provides readers with complete coverage of advanced computer-aided diagnosis systems for neurological disorders. While computer-aided decision support systems for different medical imaging modalities are available, this is the first book to solely concentrate on decision support systems for neurological disorders. Due to the increase in the prevalence of diseases such as Alzheimer, Parkinson's and Dementia, this book will have significant importance in the medical field. Topics discussed include recent computational approaches, different types of neurological disorders, deep convolution neural networks, generative adversarial networks, auto encoders, recurrent neural networks, and modified/hybrid artificial neural networks. - Includes applications of computer intelligence and decision support systems for the diagnosis and analysis of a variety of neurological disorders - Presents in-depth, technical coverage of computer-aided systems for tumor image classification, Alzheimer's disease detection, dementia detection using deep belief neural networks, and morphological approaches for stroke detection - Covers disease diagnosis for cerebral palsy using auto-encoder approaches, contrast enhancement for performance enhanced diagnosis systems, autism detection using fuzzy logic systems, and autism detection using generative adversarial networks - Written by engineers to help engineers, computer scientists, researchers and clinicians understand the technology and applications of decision support systems for neurological disorders
Handbook Of Decision Support Systems For Neurological Disorders
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Author : D. Jude Hemanth
language : en
Publisher: Elsevier
Release Date : 2021-04-07
Handbook Of Decision Support Systems For Neurological Disorders written by D. Jude Hemanth and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-07 with Medical categories.
Handbook of Decision Support Systems for Neurological Disorders provides readers with complete coverage of advanced computer-aided diagnosis systems for neurological disorders. While computer-aided decision support systems for different medical imaging modalities are available, this is the first book to solely concentrate on decision support systems for neurological disorders. Due to the increase in the prevalence of diseases such as Alzheimer, Parkinson's and Dementia, this book will have significant importance in the medical field. Topics discussed include recent computational approaches, different types of neurological disorders, deep convolution neural networks, generative adversarial networks, auto encoders, recurrent neural networks, and modified/hybrid artificial neural networks. Includes applications of computer intelligence and decision support systems for the diagnosis and analysis of a variety of neurological disorders Presents in-depth, technical coverage of computer-aided systems for tumor image classification, Alzheimer's disease detection, dementia detection using deep belief neural networks, and morphological approaches for stroke detection Covers disease diagnosis for cerebral palsy using auto-encoder approaches, contrast enhancement for performance enhanced diagnosis systems, autism detection using fuzzy logic systems, and autism detection using generative adversarial networks Written by engineers to help engineers, computer scientists, researchers and clinicians understand the technology and applications of decision support systems for neurological disorders
Recent Advances In Pediatric Neuroradiology
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Author : Sahar Ahmad
language : en
Publisher: Frontiers Media SA
Release Date : 2025-06-19
Recent Advances In Pediatric Neuroradiology written by Sahar Ahmad and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-19 with Medical categories.
Pediatrics neuroradiology is a subspeciality of radiology that focuses on the use of advanced neuroimaging techniques to study brain growth and to diagnose diseases and malformations in neonates, infants, toddlers, children, and adolescents. Recent technical and methodological developments, and the use of artificial intelligence (AI) has improved the field of pediatric neuroradiology, resulting in enhanced diagnostic care, personalized treatments, and better patient outcomes. Pediatric neuroradiology plays a key role in diagnosing, characterizing, and monitoring the progression of neurological disorders in children. A wide variety of imaging techniques including magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound (US) are employed for the evaluation of conditions common among children. One of the most challenging aspects of pediatric neuroradiology is the need for age-specific considerations for processing and interpreting imaging exams in relation to different age groups due to the dynamic and ongoing development of the brain from neonacy to adolescence. This requires knowledge of early developing patterns in neurotypical subjects and development milestones.
Computer Science Engineering
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Author : Gururaj H L
language : en
Publisher: CRC Press
Release Date : 2024-12-20
Computer Science Engineering written by Gururaj H L and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-20 with Computers categories.
This book provides a comprehensive overview of the latest advancements and research in the fields of computing and intelligent information systems. It compiles cutting-edge studies, innovative methodologies, and practical applications presented at the conference ICCIIS 2024. The book delves into several core areas of modern computing and intelligent information systems. Key topics include artificial intelligence, exploring machine learning algorithms and neural networks; information systems and robotic process automation, highlighting efficient business process automation strategies; and signal, image, and video processing, focusing on innovative techniques for multimedia analysis. Big data analytics is also covered with insights into data mining and predictive analytics. Cloud computing and cybersecurity are explored, emphasizing secure, scalable solutions for data storage and protection. The Internet of Things (IoT) is examined for its impact on interconnected devices and smart systems. Additionally, the book explores advanced computing and intelligent networks, addressing the development of high-performance computing systems and sophisticated network architectures. This book is intended for academics, researchers, and professionals in the fields of computing and information systems, as well as students pursuing advanced studies in these areas. It is also a valuable resource for industry practitioners seeking to stay abreast of the latest trends and innovations in AI, big data, and cybersecurity.
Early Detection Of Neurological Disorders Using Machine Learning Systems
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Author : Paul, Sudip
language : en
Publisher: IGI Global
Release Date : 2019-06-28
Early Detection Of Neurological Disorders Using Machine Learning Systems written by Paul, Sudip and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-28 with Medical categories.
While doctors and physicians are more than capable of detecting diseases of the brain, the most agile human mind cannot compete with the processing power of modern technology. Utilizing algorithmic systems in healthcare in this way may provide a way to treat neurological diseases before they happen. Early Detection of Neurological Disorders Using Machine Learning Systems provides innovative insights into implementing smart systems to detect neurological diseases at a faster rate than by normal means. The topics included in this book are artificial intelligence, data analysis, and biomedical informatics. It is designed for clinicians, doctors, neurologists, physiotherapists, neurorehabilitation specialists, scholars, academics, and students interested in topics centered on biomedical engineering, bio-electronics, medical electronics, physiology, neurosciences, life sciences, and physics.
Adversarial Deep Generative Techniques For Early Diagnosis Of Neurological Conditions And Mental Health Practises
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Author : Abhishek Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-08-16
Adversarial Deep Generative Techniques For Early Diagnosis Of Neurological Conditions And Mental Health Practises written by Abhishek Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-16 with Computers categories.
This book explores a pioneering exploration of how deep generative models, including generative adversarial networks (GANs) and variational autoencoders (VAEs), renovating early neurological disorder detection. This book is a bridge between computational neuroscience and clinical neurology gaps, providing novel AI-driven methodologies for diagnosing conditions such as Alzheimer’s, Parkinson’s, epilepsy, and neurodevelopmental disorders. With a strong focus on neuroimaging, genomic data analysis, and biomedical informatics, the book equips researchers and practitioners with the tools to improve diagnostic accuracy and decision-making. It includes practical case studies, visual illustrations, and structured methodologies for training and validating deep learning models. Designed for neurologists, radiologists, data scientists, and AI researchers, this book is an essential resource for advancing precision medicine and next-generation healthcare innovation.
Artificial Intelligence In Neurological Disorders
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Author : Rishabha Malviya
language : en
Publisher: John Wiley & Sons
Release Date : 2025-06-25
Artificial Intelligence In Neurological Disorders written by Rishabha Malviya and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-25 with Computers categories.
The book gives invaluable insights into how artificial intelligence is revolutionizing the management and treatment of neurological disorders, empowering you to stay ahead in the rapidly evolving landscape of healthcare. Embark on a groundbreaking exploration of the intersection between cutting-edge technology and the intricate complexities of neurological disorders. Artificial Intelligence in Neurological Disorders: Management, Diagnosis and Treatment comprehensively introduces how artificial intelligence is becoming a vital ally in neurology, offering unprecedented advancements in management, diagnosis, and treatment. As the digital age converges with medical expertise, this book unveils a comprehensive roadmap for leveraging artificial intelligence to revolutionize neurological healthcare. Delve into the core principles that underpin AI applications in the field by exploring intricate algorithms that enhance the precision of diagnosis and how machine learning not only refines the understanding of neurological disorders but also paves the way for personalized treatment strategies tailored to individual patient needs. With compelling case studies and real-world examples, the realms of neuroscience and artificial intelligence converge, illustrating the symbiotic relationship that holds the promise of transforming patient care. Readers of this book will find it: Provides future perspectives on advancing artificial intelligence applications in neurological disorders; Focuses on the role of AI in diagnostics, delving into how advanced algorithms and machine learning techniques contribute to more accurate and timely diagnosis of neurological disorders; Emphasizes practical integration of AI tools into clinical practice, offering insights into how healthcare professionals can leverage AI technology for more effective patient care; Recognizes the interdisciplinary nature of neurology and AI, bridging the gap between these fields, making it accessible to healthcare professionals, researchers, and technologists; Addresses the ethical implications of AI in healthcare, exploring issues such as data privacy, bias, and the responsible deployment of AI technologies in the neurological domain. Audience Researchers, scientists, industrialists, faculty members, healthcare professionals, hospital management, biomedical industrialists, engineers, and IT professionals interested in studying the intersection of AI and neurology.