Machine Learning in Bio-Signal Analysis and Diagnostic Imaging

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  • Engels
  • Paperback
  • 9780128160862
  • 05 december 2018
  • 345 pagina's
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Samenvatting

Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification techniques of biomedical signals and images that cover both supervised and unsupervised machine learning models, standards, algorithms, and their applications, along with the difficulties and challenges faced by healthcare professionals in analyzing biomedical signals and diagnostic images. These intelligent recommender systems are designed based on machine learning, soft computing, computer vision, artificial intelligence and data mining techniques. Classification and clustering techniques, such as PCA, SVM, techniques, Naive Bayes, Neural Network, Decision trees, and Association Rule Mining are among the approaches presented.

The design of high accuracy decision support systems assists and eases the job of healthcare practitioners and suits a variety of applications. Integrating Machine Learning (ML) technology with human visual psychometrics helps to meet the demands of radiologists in improving the efficiency and quality of diagnosis in dealing with unique and complex diseases in real time by reducing human errors and allowing fast and rigorous analysis. The book's target audience includes professors and students in biomedical engineering and medical schools, researchers and engineers.

  • Examines a variety of machine learning techniques applied to bio-signal analysis and diagnostic imaging
  • Discusses various methods of using intelligent systems based on machine learning, soft computing, computer vision, artificial intelligence and data mining
  • Covers the most recent research on machine learning in imaging analysis and includes applications to a number of domains

Productspecificaties

Inhoud

Taal
en
Bindwijze
Paperback
Oorspronkelijke releasedatum
05 december 2018
Aantal pagina's
345
Illustraties
Nee

Betrokkenen

Hoofdauteur
Nilanjan Dey
Hoofdredacteur
Nilanjan Dey
Tweede Redacteur
Surekha Borra
Co Redacteur
Nilanjan Dey
Hoofduitgeverij
Academic Press Inc

Overige kenmerken

Extra groot lettertype
Nee
Product breedte
191 mm
Product lengte
234 mm
Studieboek
Ja
Verpakking breedte
191 mm
Verpakking hoogte
234 mm
Verpakking lengte
234 mm
Verpakkingsgewicht
720 g

EAN

EAN
9780128160862
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Bindwijze : Paperback

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