ImageCLEF is an evaluation campaign that is being organized as part of the CLEF initiative labs. The campaign offers several research tasks that welcome participation from teams around the world. Based on the visual image content, ImageCLEFcaption 2020 task provides the building blocks for medical image understanding step by identifying the individual components from which captions are composed. The concepts can be further applied for context-based image and information retrieval purposes. The approach developed by the Essex team identifies the presence of relevant concepts in a large corpus of medical images with an image retrieval methodology using features extracted via DenseNet-121 model. The Essex team, consisting of Francisco Parrilla Andrade, Luke Bentley, Arely Aceves Compean and Alba García Seco de Herrera, ranked 3rd in the ImageCLEFcaption 2020 challenge.
