Abstract: This paper concerns the best approach to the capture of local texture features for use in content-based image retrieval (CBIR) applications. From our previous work, two a...
For a comprehensive understanding of tomographic image data in medical routine, interactive and high–quality direct volume rendering is an essential prerequisite. This is provid...
Klaus Engel, Thomas Ertl, Peter Hastreiter, Bernd ...
This paper presents the algorithms and results of the "idiap" team participation to the ImageCLEFmed annotation task in 2008. On the basis of our successful experience in...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
Content-based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Most of the attention from the research has been focused on indexing t...
Qi Tian, Nicu Sebe, Michael S. Lew, Etienne Loupia...
The aging population and the growing amount of medical data have increased the need for automated tools in the neurology departments. Although the researchers have been developing ...