Abstract Content-Based Image Retrieval (CBIR) systems have recently emerged as one of
the most promising and best image retrieval paradigms. To pacify the semantic gap …

Motivation Biomedical research findings are typically disseminated through publications. To
simplify access to domain-specific knowledge while supporting the research community …

This paper aims to provide a comprehensive survey of tag-based information retrieval that
covers three areas: tag-based document retrieval, tag-based image retrieval, and tag-based …

Content Based Image Retrieval (CBIR) techniques based on texture have gained a lot of
popularity in recent times. In the proposed work, a feature vector is obtained by …

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 …

Tuberculosis (TB) is an infectious disease caused by the bacillus M. Tuberculosis. According
to the World Health Organization (WHO) Global Tuberculosis Report 2014 [1], TB remains …

Content-based analysis and retrieval of digital images found in scientific articles is often
hindered by images consisting of multiple subfigures (compound figures). We address this …

To reduce the burden for users that utilize information from distributed information resources,
the deployment of distributed active information resource (AIR) is proposed. An AIR is a …

We propose an image processing algorithm to automatically separate compound figures
appearing in scientific articles. We classify compound images into two classes and apply …

Figures in biomedical research papers are a significant source of vital information
surrounding the experimental settings and results. One of the most important steps towards …