Cases base memory modelling for medical pictures reuse

Abstract EN

The mass of multimedia data produced annually in hospitals are measured in terabytes ; the need to manage this gigantic information mass becomes quickly extremely crucial.

The actual management information systems of medical pictures present some limits like their capacities to answer the needs of the users.

These limits are due to the fact that these systems don't take in consideration the semantic content of the pictures.

Content research aims to pass this problem.

One of the possible means consists in using description criteria of the picture semantic content for being able to reuse it.

These criteria are known in the medical knowledge domain.

We think that the use of an enterprise memory for managing this knowledge would be able to satisfy this need.

We demonstrate our subjects by the realization of a prototype named "MECIM".