Essex at ImageCLEFcaption 2020 task

The University of Essex participated in the fourth edition of the ImageCLEFcaption task which aims to detect concepts on radiology images as an approach to medical image understanding. In this paper, the University of Essex team presents its participation in the ImageCLEF 2020 caption task based on a retrieval based approach for concept detection. A Densely Connected Convolutional Network is used to encode the images. This paper explores compares several modification of the baseline considering several aspects such as the image modality or the selection of concepts among the top retrieved images. The University of Essex was third best team participating in the task achieving a 0.381 mean F1 score, very close to the results obtained by the top two teams. Code and pre-trained models are available at https://github.com/fjpa121197/ImageCLEFmedEssex2020.