Literature DB >> 27526188

Medical Image Analysis by Cognitive Information Systems - a Review.

Lidia Ogiela1, Makoto Takizawa2.   

Abstract

This publication presents a review of medical image analysis systems. The paradigms of cognitive information systems will be presented by examples of medical image analysis systems. The semantic processes present as it is applied to different types of medical images. Cognitive information systems were defined on the basis of methods for the semantic analysis and interpretation of information - medical images - applied to cognitive meaning of medical images contained in analyzed data sets. Semantic analysis was proposed to analyzed the meaning of data. Meaning is included in information, for example in medical images. Medical image analysis will be presented and discussed as they are applied to various types of medical images, presented selected human organs, with different pathologies. Those images were analyzed using different classes of cognitive information systems. Cognitive information systems dedicated to medical image analysis was also defined for the decision supporting tasks. This process is very important for example in diagnostic and therapy processes, in the selection of semantic aspects/features, from analyzed data sets. Those features allow to create a new way of analysis.

Entities:  

Keywords:  Cognitive information systems; Medical image analysis; Semantic analysis and interpretation

Mesh:

Year:  2016        PMID: 27526188     DOI: 10.1007/s10916-016-0566-6

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  2 in total

1.  Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier.

Authors:  Emina Alickovic; Abdulhamit Subasi
Journal:  J Med Syst       Date:  2016-02-27       Impact factor: 4.460

2.  A decision support system to improve medical diagnosis using a combination of k-medoids clustering based attribute weighting and SVM.

Authors:  Musa Peker
Journal:  J Med Syst       Date:  2016-03-21       Impact factor: 4.460

  2 in total

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