… and ran in that format at ImageCLEFcaption 2017 [1] and 2018 [4]. The … Overview of
imageclefcaption 2017 - image caption prediction and concept detection for biomedical images…

… 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 the ImageCLEFcaption 2018 task, we applied two methods to identify multiple concepts
for a … prediction and concept extraction tasks to understand biomedical images. In: CLEF …

… 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, …

… methods that we employed in ImageCLEFcaption 2018 and … contain 222,305 and 10,000
biomedical images, respectively, … testing the transfer learning model, we collect the predicted …

… of medical images extracted from open access biomedical … At test time, we predict the concepts
for each test image using their … Overview of ImageCLEFcaption 2017 - the Image Caption …