A review of feature and data fusion with medical images

Alex Pappachen James, Belur V. Dasarathy

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

The fusion techniques that utilize multiple feature sets to form new features that are often more robust and contain useful information for future processing are referred to as feature fusion [1]. The term data fusion is applied to the class of techniques used for combining decisions obtained from multiple feature sets to form global decisions [2]. Feature and data fusion interchangeably represent two important classes of techniques that have proved to be of practical importance in a wide range of medical imaging problems.

Original languageEnglish
Title of host publicationMultisensor Data Fusion
Subtitle of host publicationFrom Algorithms and Architectural Design to Applications
PublisherCRC Press
Pages491-507
Number of pages17
ISBN (Electronic)9781482263756
ISBN (Print)9781482263749
DOIs
Publication statusPublished - Jan 1 2017

ASJC Scopus subject areas

  • Engineering(all)
  • Physics and Astronomy(all)

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