In the medical image retrieval literature, there are two main approaches: content-based
retrieval using the visual information contained in the image itself and context-based …

In recent years, Convolutional Neural Network (CNN) models have demonstrated notable
advancements in various domains such as image classification and Natural Language …

The explosive growth of biomedical literature has made it difficult for biomedical scientists to
locate precise articles and keep them up to date with the latest knowledge. In biomedical …

A terminology (or coding system) is a formal set of controlled vocabulary in a specific
domain. With a well‐defined terminology, each concept in the target domain is assigned with …

With the increasing number of information largely databases, it is essential, increasingly, the
application of techniques which enable efficient queries so that extract the relevant …

The conceptual representation is one of the most commonly used approaches as a solution
for semantic information retrieval. Most approaches apply NLP tools to map terms from …