Diagnostic Biomedical Signal and Image Processing Applications - With Deep Learning Methods (Paperback)

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, fMRI, CT and X-RAY, amongst others. These image and signal modalities include real challenges, which 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.

General

Imprint:	Academic Press Inc
Country of origin:	United Kingdom
Series:	Intelligent Data-Centric Systems
Release date:	May 2023
First published:	2023
Editors:	Kemal Polat • Saban Ozturk
Dimensions:	235 x 191mm (L x W)
Format:	Paperback
Pages:	300
ISBN-13:	978-0-323-96129-5
Categories:	Books > Professional & Technical > Technology: general issues > General Books > Computing & IT > Applications of computing > Signal processing Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General Books > Computing & IT > Computer software packages > Other software packages > Enterprise software > General
LSN:	0-323-96129-0
Barcode:	9780323961295

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