A Review of Feature and Data Fusion with Medical Images

Multisensor Data Fusion: From Algorithm and Architecture Design to Applications

Alex Pappachen James, Belur V. Dasarathy

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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. The term data fusion is applied to the class of techniques used for combining decisions obtained from multiple feature sets to form global decisions. 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
PublisherCRC Press/Balkema
Publication statusPublished - May 30 2015

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Data fusion
Medical imaging
Processing

Keywords

  • cs.CV

Cite this

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