TY  - BOOK
ID  - GaM2014
T1  - Fusion Techniques in Biomedical Information Retrieval
A1  - García Seco de Herrera, Alba
A1  - Müller, Henning
TI  - Fusion in Computer Vision
Y1  - 2014
SP  - 209
EP  - 228
PB  - Springer
N2  - For difficult cases clinicians usually use their experience and also the information found in textbooks to determine a diagnosis. Computer tools can help them supply the relevant information now that much medical knowledge is available in digital form. A biomedical search system such as developed in the Khresmoi project (that this chapter partially reuses) has the goal to fulfil information needs of physicians. This chapter concentrates on information needs for medical cases that contain a large variety of data, from free text, structured data to images. Fusion techniques will be compared to combine the various information sources to supply cases similar to an example case given. This can supply physicians with answers to problems similar to the one they are analyzing and can help in diagnosis and treatment planning.
M1  - Date: 26 Mar 2014  
Fusion Techniques in Biomedical Information Retrieval
Alba García Seco de Herrera
M1  -   Henning Müller
ER  -