… ImageCLEF caption task focuses on the medical image understanding in the biomedical
literature and specifically on concept … presents an overview of the ImageCLEF caption task 2021 …

… tasks follow similar challenges that were already run from 2017–2021. … caption task focuses
on the medical image understanding in the biomedical literature and specifically on concept …

… follows similar challenges held from 2017–2022. The goal is to extract … caption task focuses
on the medical image understanding in the biomedical literature and specifically on concept …

… ImageCLEF Caption 2020 the focus is on the automatic detection of concepts in a large corpus
of radiology images. … The image captions from the biomedical articles served as basis for …

… For the Caption Prediction we employed similar image … of medical images extracted from
open access biomedical journal … , Overview of ImageCLEFcaption 2017 – Image Caption …

… In this part, we review the results of the models implemented in … and Technology at
ImageCLEF caption 2022 task. In the … prediction and concept detection for biomedical images, …

… and submitted to the Concept Detection 2019 task, where we … of medical images extracted
from open access biomedical … At test time, we predict the concepts for each test image using …

… several medical image concept detection challenges beginning in 2017. Each medical …
Since the errors occurring during caption prediction propagate to the concept detection task, …

… detection of captions for multimodality radiology images. The sections includes the following:
Section 1 gives a brief introduction about the necessity to perform caption prediction… images …

… complex biomedical images. It has been applied from generating single sentence … 2017
for the ImageCLEFcaption task which consists of two sub-tasks: concept prediction and caption …