Elsevier Science & Technology
Elsevier Science & Technology - Diagnostic Biomedical Signal And Image Processing Applications With Deep Learning Methods - Paperback
Elsevier Science & Technology - Diagnostic Biomedical Signal And Image Processing Applications With Deep Learning Methods - Paperback
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Binding: Paperback
Description: Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods presents comprehensive research on both medical imaging and medical signals analysis. The book discusses classification segmentation detection tracking and retrieval applications of non - invasive methods such as EEG ECG EMG MRI f MRI CT and X - RAY amongst others. These image and signal modalities include real challenges that are the main themes that medical imaging and medical signal processing researchers focus on today. The book also emphasizes removing noise and specifying dataset key properties with each chapter containing details of one of the medical imaging or medical signal modalities. Focusing on solving real medical problems using new deep learning and CNN approaches this book will appeal to research scholars graduate students faculty members R& D engineers and biomedical engineers who want to learn how medical signals and images play an important role in the early diagnosis and treatment of diseases.
Title: Diagnostic Biomedical Signal And Image Processing Applications With Deep Learning Methods
Brand: Elsevier Science & Technology
Barcode: 9780323961295
Pages: 302 Pages
Publication Date: 5/5/2023
Series: Intelligent Data-Centric Systems
Category: Image Processing
Description: Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods presents comprehensive research on both medical imaging and medical signals analysis. The book discusses classification segmentation detection tracking and retrieval applications of non - invasive methods such as EEG ECG EMG MRI f MRI CT and X - RAY amongst others. These image and signal modalities include real challenges that are the main themes that medical imaging and medical signal processing researchers focus on today. The book also emphasizes removing noise and specifying dataset key properties with each chapter containing details of one of the medical imaging or medical signal modalities. Focusing on solving real medical problems using new deep learning and CNN approaches this book will appeal to research scholars graduate students faculty members R& D engineers and biomedical engineers who want to learn how medical signals and images play an important role in the early diagnosis and treatment of diseases.
Title: Diagnostic Biomedical Signal And Image Processing Applications With Deep Learning Methods
Brand: Elsevier Science & Technology
Barcode: 9780323961295
Pages: 302 Pages
Publication Date: 5/5/2023
Series: Intelligent Data-Centric Systems
Category: Image Processing
