Heterogeneous data fusion for brain tumor classification

Heterogeneous data fusion for brain tumor classification.

Current research in biomedical informatics involves analysis of multiple heterogeneous data sets. This includes patient demographics, clinical and pathology data, treatment history, patient outcomes as well as gene expression, DNA sequences and other information sources such as gene ontology. Analysis of these data sets could lead to better diseas...

Heterogeneous Data Fusion to Type Brain Tumor Biopsies

Current research in biomedical informatics involves analysis of multiple heterogeneous data sets. This includes patient demographics, clinical and pathology data, treatment history, patient outcomes as well as gene expression, DNA sequences and other information sources such as gene ontology. Analysis of these data sets could lead to better disease diagnosis, prognosis, treatment and drug disco...

Data Fusion for Object Classification

Fusion of Heterogeneous Multisensor Data

One of the main future tasks in the field of reconnaissance and surveillance is the data fusion of heterogeneous systems. For this purpose, sensor data of airborne and spaceborne systems, which acquire the data from the same scene with different spatial and spectral coverage, are used. The employment of different sensors offers the opportunity to take benefit of the specific sensor characterist...

An information fusion system for object classification and decision support using multiple heterogeneous data sources

An information system for classification of vehicles and for situation analysis with heterogeneous input data from multiple sources will be proposed. Input data will generally be available from different sensors. The information system will be split into three subsystems, which will be discussed in this paper. The first one will include means for querying and reasoning about spatial-temporal in...