Diagnostic Biomedical Signal and Image Processing Applications With Deep Learning Methods

Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods is a comprehensive book that discusses the applications of deep learning methods in medical imaging and medical signals analysis. It covers various non-invasive methods, such as EEG, ECG, EMG, MRI, and CT, and emphasizes the removal of noise and specification of dataset key properties. The book aims to solve real medical problems using new deep learning and CNN approaches and is suitable for research scholars, graduate students, faculty members, R&D engineers, and biomedical engineers.

Format: Paperback / softback
Length: 302 pages
Publication date: 05 May 2023
Publisher: Elsevier Science & Technology

Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods is a comprehensive exploration of cutting-edge techniques in medical imaging and medical signal analysis. The book delves into various applications of non-invasive methods, including electroencephalography (EEG), electrocardiography (ECG), electromyography (EMG), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), computed tomography (CT), and X-ray, among others. These image and signal modalities present unique challenges that are the primary focus of medical imaging and medical signal processing researchers today.

Furthermore, the book emphasizes the importance of noise removal and specifying key properties of datasets, with each chapter dedicated to a specific medical imaging or medical signal modality. By focusing on solving real medical problems through innovative deep learning and convolutional neural network (CNN) approaches, this book appeals to a wide audience, including research scholars, graduate students, faculty members, R&D engineers, and biomedical engineers.

The book aims to provide a comprehensive understanding of how medical signals and images contribute to early disease diagnosis and treatment. It covers topics such as feature extraction, classification, segmentation, detection, tracking, and retrieval, showcasing the potential of deep learning in addressing complex medical imaging and signal processing challenges. With its extensive coverage and practical insights, Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods serves as a valuable resource for anyone interested in advancing the field of medical imaging and signal processing.

Weight: 630g
Dimension: 235 x 192 x 18 (mm)
ISBN-13: 9780323961295