Classification Techniques for Medical Im

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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedic…
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    Om Classification Techniques for Medical Im

    Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images. Examines the methodology of classification of medical images that covers the taxonomy of both supervised and unsupervised models, algorithms, applications and challengesDiscusses recent advances in Artificial Neural Networks, machine learning, and deep learning in clinical applicationsIntroduces several techniques for medical image processing and analysis for CAD systems design

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    Detaljer

    Format
    E-Bok
    Kopisperre
    Teknisk DRM
    Filformat
    ePUB
    Utgivelsesår
    2019
    Forlag
    Elsevier Science
    Språk
    Engelsk
    ISBN
    9780128180051
    Serie
    Sider
    218
    Emne
    Biomedical engineering, Biotechnology

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