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E-Book/E-Doc
Author Dey, Nilanjan.

Title Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Imprint San Diego, UNITED STATES : Academic Press, 2019.

Copies

Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Edition ISSN.
Description 1 online resource (220)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Note Print version record.
Summary 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.
Subject Diagnostic imaging -- Digital techniques.
Imagerie pour le diagnostic -- Techniques numériques.
Diagnostic imaging -- Digital techniques
Genre/Form Electronic books.
Other Form: Print version: 9780128180051
ISBN 0128180048 (Paper)
9780128180044
9780128180051 (Proquest Ebook Central)
0128180056
Standard No. AU@ 000068363459

 
    
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