Go to main content
Overview of the VQA-Med task at ImageCLEF 2021 : visual question answering and generation in the medical domain
Ben Abacha, Asma; Sarrouti, Mourad; Demner-Fushman, Dina; Hasan, Sadid A.; Müller, Henning
2021
Download
Formats
Format
BibTeX
MARCXML
TextMARC
MARC
DublinCore
EndNote
NLM
RefWorks
RIS

Files

Abstract

This paper presents an overview of the fourth edition of the Medical Visual Question Answering (VQA-Med) task at ImageCLEF 2021. VQA-Med 2021 includes a task on Visual Question Answering (VQA),where participants are tasked with answering questions from the visual content of radiology images,and a second task on Visual Question Generation (VQG), consisting of generating relevant questionsabout radiology images. Thirteen teams participated in VQA-Med 2021 and submitted a total of 75 runs.The best teams achieved a BLEU score of 0.416 in the VQA task and 0.383 in the VQG task.

Details

Title
Overview of the VQA-Med task at ImageCLEF 2021 : visual question answering and generation in the medical domain
Author(s)
Ben Abacha, Asma (National Library of Medicine, USA)
Sarrouti, Mourad (National Library of Medicine, USA)
Demner-Fushman, Dina (National Library of Medicine, USA)
Hasan, Sadid A. (CVS Health, USA)
Müller, Henning (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))
Date
2021-09
Published in
Proceedings of the CLEF 2021 Conference and Labs of the Evaluation Forum - working notes
Publisher
Bucharest, Romania, 21-24 September 2021
Pagination & equivalents
Pp. 1081-1088
Presented at
CLEF 2021 Conference and Labs of the Evaluation Forum, Online, 2021-09-21, 2021-09-24
ISSN
1613-0073
Keywords
visual question answering ; visual question generation ; data creation ; radiology images
Paper type
published full paper
Faculty
Economie et Services
School
HEG-VS
Institute
Institut Informatique de gestion
Record Appears in
Conference materials
Global
External resources
Online version

Actions

PDF