Images indexing and matched assessment of semantics and visuals similarities applied to a medical learning X-ray image base.

Background: Medical diagnostic support systems are important tools in the field of radiology. However, the precision obtained, during the exploitation of high homogeneity image datasets, needs to be improved.

Objective: To develop a new learning system dedicated to public health practitioners.