A Review of Feature and Data Fusion with Medical Images
It provides a review of existing methods for medical imaging, making it incremental in nature.
This paper reviews feature and data fusion techniques, which combine multiple feature sets to create more robust features or decisions, and highlights their practical importance in medical imaging.
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