In 2013, the tenth edition of the medical task of the Image-CLEF benchmark was organized.
For the first time, the ImageCLEFmed workshop takes place in the United States of America …

Medical imaging is becoming a vital component of war on cancer. Tremendous amounts of
medical image data are captured and recorded in a digital format during cancer care and …

In this paper we propose a complete pipeline for medical image modality classification
focused on the application of discrete Bayesian network classifiers. Modality refers to the …

Much of medical knowledge is stored in the biomedical literature, collected in archives like
PubMed Central that continue to grow rapidly. A significant part of this knowledge is …

Motivation Images convey essential information in biomedical publications. As such, there is
a growing interest within the bio-curation and the bio-databases communities, to store …

In 2013, the tenth edition of the medical task of the Image-CLEF benchmark was organized.
For the first time, the ImageCLEFmedworkshop takes place in the United States of America …

The large volume of biomedical literature poses a serious problem for medical
professionals, who are often struggling to keep current with it. At the same time, many health …

Many of the figures in biomedical publications are compound figures consisting of multiple
panels. Segmenting such figures into constituent panels is an essential first step for …

Multi-panel figures are common in biomedical journals. Often the subpanels are of different
types, eg x-ray, microscopy, sketch, etc. Visual information retrieval of such figures can …

Advances in medical knowledge give clinicians more objective information for a diagnosis.
Therefore, there is an increasing need for bibliographic search engines that can provide …