Machine Learning in Bio Signal Analysis and Diagnostic Imaging

This book PDF is perfect for those who love Science genre, written by Nilanjan Dey and published by Academic Press which was released on 30 November 2018 with total hardcover pages 345. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Machine Learning in Bio Signal Analysis and Diagnostic Imaging books below.

Machine Learning in Bio Signal Analysis and Diagnostic Imaging
Author : Nilanjan Dey
File Size : 45,6 Mb
Publisher : Academic Press
Language : English
Release Date : 30 November 2018
ISBN : 9780128160879
Pages : 345 pages
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Machine Learning in Bio Signal Analysis and Diagnostic Imaging by Nilanjan Dey 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

Machine Learning in Bio Signal Analysis and Diagnostic Imaging

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

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