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VQA-Med: Overview of the Medical Visual Question Answering Task at ImageCLEF 2019

Domain:

healthcarenatural language processing

Record type:

datasetpaper
Creator:
BenHasDatLiu
Publisher:
Zenodo
Host:avatar
Reference: If you use the VQA-Med 2019 dataset, please cite our paper: "VQA-Med: Overview of the Medical Visual Question Answering Task at ImageCLEF 2019". Asma Ben Abacha, Sadid A. Hasan, Vivek V. Datla, Joey Liu, Dina Demner-Fushman, Henning Müller. Working Notes of CLEF 2019. Paper available at: ceur-ws.org  @Inproceedings{ImageCLEFVQA-Med2019, author = {Asma {Ben Abacha} and Sadid A. Hasan and Vivek V. Datla and Joey Liu and Dina Demner-Fushman and Henning M\"uller}, title = {VQA-Med: Overview of the Medical Visual Question Answering Task at ImageCLEF 2019},   url = {ceur-ws.org     booktitle = {Working Notes of {CLEF} 2019}, series = {{CEUR} Workshop Proceedings}, volume = {2380},     year = {2019},     publisher = {CEUR-WS.org},     month = {September 9-12}, address = {Lugano, Switzerland} }

Visit

doi.orgzenodo.org

Tasks

computer visionquestion answering

Languages

Basa

Tags

RadiologyVisual Question Answering

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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