Handbook Deep Learning Biomedical (37 results)
Handbook of Deep Learning in Biomedical Engineering and Health Informatics : Biomedical Engineering: Techniques and Applications
Julie, E. Golden (EDT); Robinson, Y. Harold (EDT); Jaisakthi, S. M. (EDT)
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Condition: New. 318 pages, illustrations some color.
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Condition: New. 318 pages, illustrations some color First edition Includes bibliographical references and index.
Handbook of Deep Learning in Biomedical Engineering and Health Informatics : Biomedical Engineering: Techniques and Applications
Julie, E. Golden (EDT); Robinson, Y. Harold (EDT); Jaisakthi, S. M. (EDT)
- Softcover
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Handbook of Deep Learning in Biomedical Engineering and Health Informatics : Biomedical Engineering: Techniques and Applications
Julie, E. Golden (EDT); Robinson, Y. Harold (EDT); Jaisakthi, S. M. (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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Seller: moluna, Greven, Germanymoluna
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Condition: New. E. Golden Julie, PhD, is a Senior Assistant Professor in the Department of Computer Science and Engineering at Anna University, Regional Campus, Tirunelveli, India. With more than 12 years of experience in teaching, she has published and.
- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. pp. 332.
Handbook of Deep Learning in Biomedical Engineering and Health Informatics
Julie, E. Golden, Ph.D. (EDT); Robinson, Y. Harold, Ph.D. (EDT); Jaisakthi, S. M., Ph.D. (EDT)
- Hardcover
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Handbook of Deep Learning in Biomedical Engineering : Techniques and Applications
Balas, Valentina Emilia (EDT); Mishra, Brojo Kishore (EDT); Mishra, Raghvendra Kumar (EDT)
- Softcover
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- Softcover
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Handbook of Deep Learning in Biomedical Engineering and Health Informatics: Biomedical Engineering: Techniques and Applications
Julie, E. Golden (Editor)/ Robinson, Y. Harold (Editor)/ Jaisakthi, S. M. (Editor)
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 344 pages. 9.19x6.13x0.78 inches. In Stock.
Handbook of Deep Learning in Biomedical Engineering and Health Informatics
Julie, E. Golden, Ph.D. (EDT); Robinson, Y. Harold, Ph.D. (EDT); Jaisakthi, S. M., Ph.D. (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Hardcover
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Handbook of Deep Learning in Biomedical Engineering and Health Informatics
Julie, E. Golden, Ph.D. (EDT); Robinson, Y. Harold, Ph.D. (EDT); Jaisakthi, S. M., Ph.D. (EDT)
- Hardcover
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- Hardcover
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Condition: New. 1st edition NO-PA16APR2015-KAP.
- Hardcover
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Handbook of Deep Learning in Biomedical Engineering and Health Informatics
Julie, E. Golden, Ph.D. (EDT); Robinson, Y. Harold, Ph.D. (EDT); Jaisakthi, S. M., Ph.D. (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. pp. 332.
- Softcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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Handbook of Deep Learning in Biomedical Engineering : Techniques and Applications
Balas, Valentina Emilia (EDT); Mishra, Brojo Kishore (EDT); Mishra, Raghvendra Kumar (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Hardcover
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Handbook of Deep Learning in Biomedical Engineering : Techniques and Applications
Balas, Valentina Emilia (EDT); Mishra, Brojo Kishore (EDT); Mishra, Raghvendra Kumar (EDT)
- Softcover
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- Softcover
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Handbook of Deep Learning in Biomedical Engineering : Techniques and Applications
Balas, Valentina Emilia (EDT); Mishra, Brojo Kishore (EDT); Mishra, Raghvendra Kumar (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
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Condition: New. Presents a comprehensive handbook of the biomedical engineering applications of DL, including computational neuroscience, neuroimaging, time series data such as MRI, functional MRI, CT, EEG, MEG, and data fusion of biomedical imaging data from disp.
Handbook of Deep Learning in Biomedical Engineering and Health Informatics
Julie, E. Golden (Editor)/ Robinson, Y. Harold (Editor)/ Jaisakthi, S. M. (Editor)
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 1st edition. 318 pages. 9.50x6.00x0.75 inches. In Stock.
- Softcover
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Handbook of Deep Learning in Biomedical Engineering and Health Informatics : Biomedical Engineering: Techniques and Applications
Julie, E. Golden (EDT); Robinson, Y. Harold (EDT); Jaisakthi, S. M. (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Elsevier Science Publishing Co Inc Nov 2020, 2020
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware - Deep Learning (DL) is a method of machine learning, running over Artificial Neural Networks, that uses multiple layers to extract high-level features from large amounts of raw data. Deep Learning methods apply levels of learning to transform input data into more abstract and composite infor…mation. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications gives readers a complete overview of the essential concepts of Deep Learning and its applications in the field of Biomedical Engineering. Deep learning has been rapidly developed in recent years, in terms of both methodological constructs and practical applications. Deep Learning provides computational models of multiple processing layers to learn and represent data with higher levels of abstraction. It is able to implicitly capture intricate structures of large-scale data and is ideally suited to many of the hardware architectures that are currently available. The ever-expanding amount of data that can be gathered through biomedical and clinical information sensing devices necessitates the development of machine learning and AI techniques such as Deep Learning and Convolutional Neural Networks to process and evaluate the data. Some examples of biomedical and clinical sensing devices that use Deep Learning include: Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound, Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), Magnetic Particle Imaging, EE/MEG, Optical Microscopy and Tomography, Photoacoustic Tomography, Electron Tomography, and Atomic Force Microscopy. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications provides the most complete coverage of Deep Learning applications in biomedical engineering available, including detailed real-world applications in areas such as computational neuroscience, neuroimaging, data fusion, medical image processing, neurological disorder diagnosis for diseases such as Alzheimer's, ADHD, and ASD, tumor prediction, as well as translational multimodal imaging analysis.
