Diagnosis of Neurological Disorders Based on Deep Learning Techniques, Chaki, Jyotismita
Автор: Helmut Madjar Название: The Practice of Breast Ultrasound: Techniques, Findings, Differential Diagnosis ISBN: 3131243422 ISBN-13(EAN): 9783131243423 Издательство: Thieme Verlagsgruppe Цена: 119460.00 T Наличие на складе: Есть Описание: The second edition of The Practice of Breast Ultrasound is an indispensable reference for the latest techniques in detecting common breast pathologies. New in this edition are guidelines for quality control and an expanded chapter on 3D scanning. More than 7 high-quality images, including new 1 images, demonstrate concepts of pathology and facilitate comprehension of diagnostic techniques. The book is organized into three main sections enabling radiologists, residents, and sonographers with various levels of expertise to rapidly locate topics of interest. Basic Course: Provides an introduction to the fundamental principles of breast ultrasound, equipment selection, and standard protocols for the examination Reviews sonographic anatomy of the breast and axilla Describes approaches to interpreting and managing common benign and malignant lesions Includes a new chapter dedicated to the American College of Radiology's Breast Imaging Reporting and Data System (BI-RADS®) that presents the lexicon and categories for feature analysis and quality assurance Intermediate Course: Presents guidelines on how to use feature analysis in analyzing lesion findings Discusses the complementary roles of ultrasound, mammography, and the clinical evaluation Addresses a different pathological condition in each chapter Features high-quality images as well as diagnostic checklists that apply the BI-RADS® feature categories of shape, margins, boundaries, echo patterns, and effects on the surrounding tissue, enabling the clinician to perceive patterns associated with specific abnormalities and to arrive at interpretations that lead to appropriate patient management plans Advanced Course: Presents the latest information about image-guided intervention for diagnosis, preoperative breast cancer staging, post-treatment follow-up, and advanced or investigational ultrasound technologies, such as 3D/4D ultrasound, real-time compound scanning, harmonics, wide field-of-view, Doppler techniques, and elastography
Автор: Bart Demaerschalk,Dean Wingerchuk Название: Evidence–Based Neurology: Management of Neurological Disorders ISBN: 0470657782 ISBN-13(EAN): 9780470657782 Издательство: Wiley Рейтинг: Цена: 108710.00 T Наличие на складе: Нет в наличии. Описание: From an expert editor team drawn from the Cochrane Neurological Network, Evidence-Based Neurology provides specialists and those in training with the skills and knowledge to apply evidence-based practice in the clinical setting.
Автор: Ayman El-Baz and Jasjit S Suri Название: Neurological Disorders and Imaging Physics, Volume 5 Applications in dyslexia, epilepsy and Parkinson`s ISBN: 0750327219 ISBN-13(EAN): 9780750327213 Издательство: INGRAM PUBLISHER SERVICES UK Рейтинг: Цена: 168960.00 T Наличие на складе: Нет в наличии. Описание: As part of the Oxford American Pain Library, this practical handbook is designed to serve as an authoritative resource on diagnosing and treating back and neck pain. Co-authored by two primary care physicians and a nurse practitioner with extensive expertise in pain medicine and management, it is tailored to the needs of busy health care professionalsand focuses on essential clinical information.
Автор: Ding Steven X Название: Model-Based Fault Diagnosis Techniques ISBN: 1447147987 ISBN-13(EAN): 9781447147985 Издательство: Springer Рейтинг: Цена: 204970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book gives readers a framework of model-based FDI techniques, helping them to become familiar with the basic ideas and schemes in a systematic way. Examples and benchmarks provide a means of practising the ideas and judging the methods described.
Автор: Steven X. Ding Название: Model-Based Fault Diagnosis Techniques ISBN: 1447161114 ISBN-13(EAN): 9781447161110 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book gives readers a framework of model-based FDI techniques, helping them to become familiar with the basic ideas and schemes in a systematic way. Examples and benchmarks provide a means of practising the ideas and judging the methods described.
Автор: Silvio Simani; Cesare Fantuzzi; Ron J. Patton Название: Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques ISBN: 1849968950 ISBN-13(EAN): 9781849968959 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Safety in industrial process and production plants is a concern of rising importance but because the control devices which are now exploited to improve the performance of industrial processes include both sophisticated digital system design techniques and complex hardware, there is a higher probability of failure.
Автор: Kumar, Nilesh Название: EEG-Based Diagnosis of Alzheimer Disease ISBN: 012815392X ISBN-13(EAN): 9780128153925 Издательство: Elsevier Science Рейтинг: Цена: 103250.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: EEG-Based Diagnosis of Alzheimer Disease: A Review and Novel Approaches for Feature Extraction and Classification Techniques provides a practical and easy-to-use guide for researchers in EEG signal processing techniques, Alzheimer’s disease, and dementia diagnostics. The book examines different features of EEG signals used to properly diagnose Alzheimer’s Disease early, presenting new and innovative results in the extraction and classification of Alzheimer’s Disease using EEG signals. This book brings together the use of different EEG features, such as linear and nonlinear features, which play a significant role in diagnosing Alzheimer’s Disease.
Автор: Yuan Название: Vessel Based Imaging Techniques ISBN: 3030252485 ISBN-13(EAN): 9783030252489 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides comprehensive information on new and existing vessel imaging techniques, with the intention of improving diagnosis, treatment, and prevention of vascular and related diseases.
Автор: Adeli Название: Automated EEG-Based Diagnosis of Neurological Disorders ISBN: 1138118206 ISBN-13(EAN): 9781138118201 Издательство: Taylor&Francis Рейтинг: Цена: 73490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Based on the authors' groundbreaking research, Automated EEG-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology presents a research ideology, a novel multi-paradigm methodology, and advanced computational models for the automated EEG-based diagnosis of neurological disorders. It is based on the ingenious integration of three different computing technologies and problem-solving paradigms: neural networks, wavelets, and chaos theory. The book also includes three introductory chapters that familiarize readers with these three distinct paradigms.
After extensive research and the discovery of relevant mathematical markers, the authors present a methodology for epilepsy diagnosis and seizure detection that offers an exceptional accuracy rate of 96 percent. They examine technology that has the potential to impact and transform neurology practice in a significant way. They also include some preliminary results towards EEG-based diagnosis of Alzheimer's disease.
The methodology presented in the book is especially versatile and can be adapted and applied for the diagnosis of other brain disorders. The senior author is currently extending the new technology to diagnosis of ADHD and autism. A second contribution made by the book is its presentation and advancement of Spiking Neural Networks as the seminal foundation of a more realistic and plausible third generation neural network.
Автор: Murugappan Название: Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders ISBN: 3030978443 ISBN-13(EAN): 9783030978440 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the automatic detection/identification of neurological disorders. Several biomedical signals are introduced and analyzed, including electroencephalogram (EEG), electrocardiogram (ECG), heart rate (HR), magnetoencephalogram (MEG), and electromyogram (EMG). It explains the role of the CAD system in processing biomedical signals and the application to neurological disorder diagnosis. The book provides the basics of biomedical signal processing, optimization methods, and machine learning/deep learning techniques used in designing CAD systems for neurological disorders.
Автор: Adeli, Hojjat Название: Automated EEG-Based Diagnosis of Neurological Disorders ISBN: 1439815313 ISBN-13(EAN): 9781439815311 Издательство: Taylor&Francis Рейтинг: Цена: 214370.00 T Наличие на складе: Нет в наличии.
Автор: Murugappan Название: Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders ISBN: 3030978478 ISBN-13(EAN): 9783030978471 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the automatic detection/identification of neurological disorders. Several biomedical signals are introduced and analyzed, including electroencephalogram (EEG), electrocardiogram (ECG), heart rate (HR), magnetoencephalogram (MEG), and electromyogram (EMG). It explains the role of the CAD system in processing biomedical signals and the application to neurological disorder diagnosis. The book provides the basics of biomedical signal processing, optimization methods, and machine learning/deep learning techniques used in designing CAD systems for neurological disorders.
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