Over the past decades, medical image analytics was greatly facilitated by the explosion of
digital imaging techniques, where huge amounts of medical images were produced with …

We provide a survey of the field of Music Information Retrieval (MIR), in particular paying
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …

Understanding and interpreting classification decisions of automated image classification
systems is of high value in many applications, as it allows to verify the reasoning of the …

Automatically describing an image with a sentence is a long-standing challenge in computer
vision and natural language processing. Due to recent progress in object detection, attribute …

The evolution of contemporary mobile robotics has given thrust to a series of additional
conjunct technologies. Of such is the semantic mapping, which provides an abstraction of …

In this paper we propose a benchmark dataset for crop/weed discrimination, single plant
phenotyping and other open computer vision tasks in precision agriculture. The dataset …

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

An ever increasing part of communication between persons involve the use of pictures, due
to the cheap availability of powerful cameras on smartphones, and the cheap availability of …

This paper presents an overview of the ImageCLEF 2022 lab that was organized as part of
the Conference and Labs of the Evaluation Forum–CLEF Labs 2022. ImageCLEF is an …

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 …