Sprache: Englisch
Verlag: Cambridge University Press, 2023
ISBN 10: 1316517519 ISBN 13: 9781316517512
Anbieter: PBShop.store US, Wood Dale, IL, USA
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: Cambridge University Press, 2023
ISBN 10: 1316517519 ISBN 13: 9781316517512
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 111,28
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: Cambridge University Press, 2023
ISBN 10: 1316517519 ISBN 13: 9781316517512
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In den WarenkorbHardcover. Zustand: Brand New. 400 pages. 9.84x6.85x0.94 inches. In Stock.
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2023
ISBN 10: 1316517519 ISBN 13: 9781316517512
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 400 pages. 9.84x6.85x0.94 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press Dez 2023, 2023
ISBN 10: 1316517519 ISBN 13: 9781316517512
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - Discover the power of deep neural networks for image reconstruction with this state-of-the-art review of modern theories and applications. Including interdisciplinary examples and a step by step background of deep learning, this book provides insight into the future of biomedical image reconstruction with clinical studies and mathematical theory.
Anbieter: moluna, Greven, Deutschland
EUR 183,38
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In den WarenkorbZustand: New. Inhaltsverzeichnis1. Introduction to Deep Learning and Diagnosis in Medicine2. 1D CNN based identification of Sleep disorders using EEG signals3. Classification of Histopathological Colon Cancer Images Using PSO based Feature Sel.
Sprache: Englisch
Verlag: Elsevier Science & Technology Mai 2023, 2023
ISBN 10: 0323961290 ISBN 13: 9780323961295
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - 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 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.