Machine Learning in Bio Signal Analysis and Diagnostic Imaging

Book Machine Learning in Bio Signal Analysis and Diagnostic Imaging Cover

Download or read online Machine Learning in Bio Signal Analysis and Diagnostic Imaging PDF book by Nilanjan Dey in ePUB, PDF or Kindle eBooks. Published in 30 November 2018 the book become immediate popular and critical acclaim in Science books. Click Download Book button to get book file. Read some info about this book below.

  • Author : Nilanjan Dey
  • Publisher : Academic Press
  • Release : 30 November 2018
  • ISBN : 9780128160879
  • Page : 345 pages
  • Language : English
  • Total View : 1222 Views

Machine Learning in Bio Signal Analysis and Diagnostic Imaging Book PDF summary

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

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