The increasing amount of medical imaging data acquired in clinical practice holds a
tremendous body of diagnostically relevant information. Only a small portion of these data …

Discharge summaries and other free-text reports in healthcare transfer information between
working shifts and geographic locations. Patients are likely to have difficulties in …

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 …

The biomedical community makes extensive use of text mining technology. In the past
several years, enormous progress has been made in develo** tools and methods, and the …

The ninth edition of the ImageCLEF medical image retrieval and classification tasks was
organized in 2012. A subset of the open access collection of PubMed Central was used as …

This paper presents the results of task 3 of the ShARe/CLEF eHealth Evaluation Lab 2014.
This evaluation lab focuses on improving access to medical information on the web. The …

As in many other scientific domains where computer--based tools need to be evaluated, also
medical imaging often requires the expensive generation of manual ground truth. For some …

Abstract Information retrieval algorithms have changed the way we manage and use various
data sources, such as images, music or multimedia collections. First, free text information of …

This paper presents the results of task 3 of the ShARe/CLEF eHealth Evaluation Lab 2013.
This evaluation lab focuses on improving access to medical information on the web. The …

In this paper, MapReduce is used to speed up and make possible three large-scale medical
image processing use-cases:(i) parameter optimization for lung texture classification using …