Training a deep neural network often requires large amount of annotated data, which is scarce in the medical image analysis domain. In this work, we present simple yet effective technique for enhancing segmentation through information fusion. The proposed approach utilizes from different spatial scales and combines them learnable way. Experimental results on two benchmark datasets demonstrate t...

A number of classifier fusion methods have been recently developed opening an alternative approach leading to a potential improvement in the classification performance. As there is little theory of information fusion itself, currently we are faced with different methods designed for different problems and producing different results. This paper gives an overview of classifier fusion methods and...

Remote sensing has proven to be a powerful tool for the monitoring of the Earth’s surface to improve our perception of our surroundings has led to unprecedented developments in sensor and information technologies. However, technologies for effective use of the data and for extracting useful information from the data of Remote sensing are still very limited since no single sensor combines the op...

: Several remote sensing software packages are used to the explicit purpose of analyzing and visualizing remotely sensed data, with the developing of remote sensing sensor technologies from last ten years. According to literature, the remote sensing is still the lack of software tools for effective information extraction from remote sensing data. So, this paper provides a state-of-art of multi-...

This special issue of the journal Information Fusion consists of a few selected, substantially extended, and thoroughly revised papers from among the many that were originally presented at FUSION 2004, the Seventh International Conference on Information Fusion held 28 June–1 July 2004 in Stockholm, Sweden (http://www.fusion2004. org). This series of conferences was started in 1998, almost coinc...

FUSION 2001 provided a forum for fusion research, applications, and technological advances by scientists and engineers working in all aspects of information and data fusion techniques and systems. This Fourth incarnation of the International Conferences on Information Fusion was held on behalf of the International Society on Information Fusion (ISIF) in Montréal (Québec, Canada) from August 7-1...

Abstract More uncertainty can be obtained when real numbers are extended to intervals. The two new concepts proposed in this work the natural extensions of cognitive interval information and uncertain with numbered values replaced by values. Hence, type some characteristics, structures, degree functions score them analyzed. Two special usages types group decision making show that they have much...